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Assistant Professor KAWABATA, Norifumi
Faculty, Affiliation
Emerging Media Initiative Division of Emerging System
Assistant Professor
College and School Educational Field
Laboratory
Collaborative Research Laboratory, Emerging Media Initiative TEL:076-234-6943
Academic Background
【Academic background(Doctoral/Master's Degree)】
Nagoya University Doctor Graduate School of Information Science Department of Information Engineering 201703 Completed
University of Toyama Master Graduate School of Science and Engineering for Education Department of Information Engineering 201303 Completed
【Academic background(Bachelor's Degree)】
University of Toyama Department of Information Engineering 201103
【Degree】
Ph.D. of Information Science
Master of Engineering
Career
Kanazawa University Emerging Media Initiative Assistant Professor(2025/04-)
Computational Imaging Lab Principal Investigator(2024/05-2025/03)
Kanazawa Gakuin University Department of Information Engineering, Faculty of Information Engineering Associate Professor(2024/04-2024/04)
Kanazawa Gakuin University Department of Economic Informatics, Faculty of Economic Informatics Associate Professor(2023/04-2024/04)
Computational Imaging Lab Principal Investigator(2022/04-2023/03)
Hokkaido University Education and Research Center for Mathematical and Data Science Specially Appointed Assistant Professor(2021/10-2022/03)
Tokai National Higher Education and Research System (THERS) Center for Healthcare Information Technology (C-HiT)(2021/08-2021/09)
Nagoya University Hospital Medical IT Center Assistant Technical Staff(2021/08-2021/09)
Tokyo University of Science Department of Information Sciences, Faculty of Science and Technology Assistant Professor(2019/04-2021/07)
Nagoya University Research Division of Transportation and Information System, Industry-Academia Cooperative Research Course, Institutes of Innovation for Future Society Assistant Technical Staff(2018/04-2019/03)
Chiba University Center for Frontier Medical Engineering (CFME) Research Fellow(2017/04-2018/03)
Year & Month of Birth
1988/12
Academic Society
IS&T
JAPAN ASSOCIATION FOR MEDICAL INFORMATICS
IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY
IEEE COMPUTER SOCIETY
THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
THE JAPAN SOCIETY OF COMPUTER AIDED SURGERY
THE JAPANESE SOCIETY OF MEDICAL IMAGING TECHNOLOGY
INFORMATION PROCESSING SOCIETY OF JAPAN
THE INSTITUTE OF IMAGE ELECTRONICS ENGINEERS OF JAPAN
IEEE SIGNAL PROCESSING SOCIETY
IEEE
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
THE INSTITUTE OF IMAGE INFORMATION AND TELEVISION ENGINEERS
Award
○SPIE Journal of Electronic Imaging Certificate of Appreciation(2025/01)
○SPIE Journal of Electronic Imaging Certificate of Appreciation(2024/01)
○SPIE Journal of Electronic Imaging Certificate of Appreciation(2019/02)
○Certificate of Outstanding Contribution in Reviewing(2018/04)
○SPIE Journal of Electronic Imaging Certificate of Appreciation(2018/02)
○Scholarship for Ph.D. student because of having the academic excellent result and submitting the doctor thesis (The first term: Exemption all, The second term: Exemption half)(2016/12)
○Forum on Information Technology Encouragement Award 2016(2016/09)
○2014 IEICE Tokai Section Student Award (Doctor)(2015/06)
Specialities
Image processing / Visual media processing / Media database、Diagnostic imaging system / Medical information system / Computer aided surgery、Signal processing / Network / Multimedia communication、Virtual reality / Usability / Ergonomics & Human factor、Data science / Modeling / Multivariate analysis、Programming language / Operating system / Software engineering、Internet of Things / Network management / Service construction infrastructure technology、Active cyber defense / Privacy protection / Digital forensics、Database system / Multimedia database / Big data、Cloud computing / Visualization / Computer graphics
Speciality Keywords
Image Processing,Picture Coding,Computer Graphics,Stereoscopic Image,Image Quality Assessment,Stereoscopic Display,Vision,Visual Information Processing,Psychophysics,Signal Processing,Wavelet,Digital Watermarking,Information Hiding,Sparse Modeling,Shitsukan,Texture,Multimedia Processing,Image Engineering,Computer Vision,Color Science,Neural Network,Image Analysis,Image Generation,Super-Resolution,Camera,Computational Photography,Holography,Medical Imaging,Medical Image Processing,Medical Image Engineering,Healthcare Informatics,Computer Aided Diagnosis,eXtended Reality,Metaverse,Video Coding,Data Mining,Multivariate Analysis,Support Vector Machine,Cluster Analysis,Mathematical Optimization,Image Restoration,Statistical Model,Vision and Language,Architecture,Embedded System
Research Themes
Signal and media processing based on color information engineering (imaging science, color engineering, signal processing, information theory)
Personal computers have become capable of processing information on a large scale due to their increased speed and performance. On the other hand, information in the world (big data, Internet of Things, blockchain, cross reality, mathematics, data science, AI, etc.) is becoming enormous, and the relationships among them may seem complicated at first glance. However, by thinking of these data as “signals,” it is possible to extract important information from the vast and complex data. Based on the above, we conduct education and research on image science and color engineering, which are the basis of signal media processing. Specifically, we conduct education and research on acquisition, measurement, encoding, processing, generation, representation, reproduction, optimization, analysis, and evaluation of color images that are suitable and desirable to users from the aspect of software and hardware co-design, considering image processing, signal processing, optics, and spatial frequency characteristics of vision. We are also engaged in machine learning (deep learning). We are also actively exploring new color information engineering that takes into account machine learning (deep learning) and quantum information science.
Signal and media processing related to computer graphics (3DCG, texture informatics, media database)
With the practical spread of generative AI such as Stable Diffusion, GPT-4, and Gemini, processing and evaluation related to computer graphics are becoming more important. In order to handle computer graphics, high processing performance and short processing time with GPUs are required as parameters. It is imperative to establish efficient processing methods to achieve high-performance computation. Therefore, we conduct education and research on image processing methods based on computer graphics theory, including modeling, shading, rendering, and animation, as well as on the construction of quantitative evaluation models for object texture information and media databases. In addition, we are visualizing the results of our research by simulating on computer graphics, taking into account metaverse and cross reality technologies, the representation and reproduction of images that would be impossible in the real world.
Signal and media processing related to visual information science (3D, VR, XR, watermarking, media information and communication)
Humans acquire, process, and analyze visual information by gazing at objects in their daily lives. We conduct education and research on visual media (image media, video media, and interactive media). In particular, we are studying the quality evaluation of encoding of multi-view 3D images and videos, quality evaluation of 360-degree camera images and videos, and image presentation methods with less burden on users, considering not only subjective evaluation of questionnaire and emotional information but also objective evaluation of biometric and health information, image feature values, machine learning (support vector machine, deep learning), etc. We are also conducting multivariate analysis and statistical analysis of visual information. We are conducting research on media information communication and the construction of evaluation models for images that users find desirable not only objectively but also subjectively by using statistical methods such as multivariate analysis.
Signal and media processing for medical systems (medical imaging, medical AI information systems, computer-aided diagnosis)
In hospitals and other medical facilities, there are many opportunities for medical professionals to view medical images visually, and they need information on which parts of the image are important and which parts of the image are of interest. Of course, it is one method for medical professionals to make judgments based on their own knowledge, but if a computer can provide some clues to the area of interest in advance, it is thought that computer-aided diagnosis is possible. From this perspective, we are conducting research on medical imaging and medical AI information systems from the field of information science. By utilizing the theory and knowledge of computer graphics and computer vision, we conduct research on medical image processing including region detection, region segmentation, reconstruction, and image quality evaluation of medical images, thereby promoting collaboration between medicine, information science, and image engineering. We are also conducting research on computer-aided diagnosis, including computer-aided surgery.
Signal and media processing for mobility social systems (next-generation transportation information systems, information usability, human interface interaction)
Self-position estimation is one of the most important technologies for automated driving. Since unmanned driving is assumed, it is important to ensure that the vehicle follows traffic standards such as white lines, red lines, signs, etc. Automated driving technology has made remarkable progress every year since the 2020s, and some Level 4 equivalent automated driving tests including unmanned driving have begun. We are conducting research on ITS image processing for traffic information systems and automated driving systems from the field of information science. We are planning to construct a simulation system for self-position estimation, environment recognition, and vehicle route selection support, and to provide support for next-generation traffic information systems for a safe and secure mobility society from the viewpoint of service informatics.
Information platform, hyper-distributed architecture, and embedded system software design for realizing large-scale information system infrastructure, application to software formal methods and development environment, and data-driven programming
We aim to create new knowledge and unknown value by analyzing multimedia data (images, video, audio, sound, natural language, etc.) related to Big Data, Internet of Things, visual/language fusion, generative AI (explainable AI), cross reality, blockchain, etc. by adopting a data-driven approach in computer science. We aim to create new knowledge and unknown values by analyzing multimedia signals with high accuracy. We will contribute to the local society and economy of Ishikawa Prefecture and the Hokuriku region, including Kanazawa City, by considering not only the analysis and technology of multimedia signal processing but also the design of information systems through programming design as a cycle, and we will also challenge to realize a human-centric and comfortable data-driven DX society. We will take on the challenge of realizing a human-centric and comfortable data-driven DX society. Based on the above, we will explore the optimal design of human-centric image hardware for the realization of large-scale information system infrastructure, such as signal processing and image processing technologies using Verilog and VHDL on embedded system platforms such as FPGA and Raspberry Pi. I am planning to conduct research on the hardware aspects, optimal design of embedded systems based on dependability theory, image information processing systems with emphasis on real-time performance, automation, acceleration, and optimization of large-scale information systems by applying software formalisms, and data-driven programming. I am planning to conduct research in the areas of optimal design of embedded systems based on the theory of dependability.
Books
- KAWABATA Norifumi 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization (in Japanese) Image Laboratory, JAPAN INDUSTRIAL PUBLISHING CO., LTD. 2024/09
Papers
- 3D CG Image Quality Assessment in Vision and Language Based on Stable Diffusion Norifumi Kawabata Image Quality and System Performance XXII 22nd IQSP-243 1 2025/02
- Image Quality Metrics for Cross Reality Considering Image Region and Perspective Based on 360 Degrees Camera Norifumi Kawabata Proc. of The 31st International Display Workshops (IDW'24) 31st 3Dp2-7 806 2024/12
- HEVC Image Evaluation and Analysis between Contrast and Rotation Based on Material Data Set of the Shitsukan Perception Standard Problem Norifumi Kawabata Proc. of The 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE2024) 13th POS3B-23 1193 2024/10
- Evaluation of 3D CG Image Colorization Quality Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Norifumi Kawabata Proc. of The 39th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC2024) 39th POS III-21 1 2024/07
- ROI Estimation of Laparoscopic Image Including Contrast Enhancement Based on Saliency Map Norifumi Kawabata Proc. of The 27th International Workshop on Advanced Image Technology (IWAIT2024) 2024 7A-2 1 2024/01
- HEVC Subjective and Objective Image Quality Assessment Considering Cross Reality Based on 360 Degrees Camera Norifumi Kawabata Proc. of The 30th International Display Workshops (IDW'23) 30th 3D2/3DSA2 642 2023/12
- Optimal Design of Color Laparoscopic Super-Resolution Image Quality Based on Generative Adversarial Networks Norifumi Kawabata and Toshiya Nakaguchi Proc. of The 2023 International Conference on Computer Graphics and Image Processing (CGIP 2023) 2023 S2-6 1 2023/01
- 3D CG Image Region of Interest Estimation and Visual Attention Based on Saliency Map Norifumi Kawabata Proc. of The 29th International Display Workshops (IDW'22) 29th VHFp1-6L 709 2022/12
- Color Laparoscopic High-Definition Video Quality Assessment for Super-Resolution Norifumi Kawabata,Toshiya Nakaguchi Proc. of SPIE (The 25th International Workshop on Advanced Image Technology (IWAIT2022)) 2022 7A5 1 2022/05
- Data Set Production and Evaluation for Semantic Segmentation of 3D CG Images by H.265/HEVC Norifumi Kawabata Proc. of The Eleventh International Workshop on Image Media Quality and its Applications (IMQA2022) 11th SO-4 107 2022/03
- Visualization for Texture Analysis of the Shitsukan Research Database Based on Luminance Information Norifumi Kawabata Image Quality and System Performance XIX 19th IQSP-198 1 2022/01
- Statistical Analysis of Questionnaire Survey on the Assessment of 3D Video Clips Norifumi Kawabata Displays 71 1 102110 2022/01
- Color Laparoscopic Image Region Segmentation after Contrast Enhancement Including SRCNN by Image Regions Norifumi Kawabata,Toshiya Nakaguchi Proc. of SPIE (The International Forum on Medical Imaging in Asia (IFMIA2021)) 11792 1179209 1 2021/04
- 3D CG Image Noise Removal and Quality Assessment Based on Sparse Dictionary Learning Norifumi Kawabata Proc. of The IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021) 2021 OS-AIT1-3 225 2021/03
- Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions Norifumi Kawabata,Toshiya Nakaguchi Proc. of The Tenth International Workshop on Image Media Quality and its Applications (IMQA2020) 10th PS2-4 1 2020/03
- Computational Classification of Texture Contents in the Shitsukan Research Database Norifumi Kawabata Proc. of The 26th International Display Workshops (IDW'19) 26th VHF7-3 1185 2019/11
- Color Laparoscopic Image Diagnosis for Automatic Detection of Coded Defect Region Norifumi Kawabata,Toshiya Nakaguchi Proc. of The 5th Asia Color Association Conference (ACA2019 Nagoya) 5th P1-25 487 2019/11 ?
- HEVC Image Quality Assessment of the Multi-view and Super-resolution Images Based on CNN Norifumi Kawabata Proc. of The 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE2018) 7th POS1A-3 38 2018/10
- Image Diagnosis for Coded Defect Detection on Multi-view 3D Images Norifumi Kawabata Proc. of The Ninth International Workshop on Image Media Quality and its Applications (IMQA2018) 9th PS10 110 2018/09
- Multi-view 3D CG Image Quality Evaluation and Analysis for Application Procedure between H.265/HEVC and Watermarking Norifumi Kawabata Proc. of The 21st International Workshop on Advanced Image Technology (IWAIT2018) 21st D3-3 1 2018/01
- Image Quality Assessment for Multi-view 3D CG Images and 5K High Definition Images Based on S-CIELAB Color Space Norifumi Kawabata Proc. of The 24th International Display Workshops (IDW'17) 24th 3D5-1 849 2017/12
- Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space Norifumi Kawabata,Masaru Miyao IEICE Transactions on Information and Systems E100-D 07 1448 2017/07
- Comparison of the Multi-view 3D CG Image Quality Evaluation for the Difference of Background Color Including Visible Digital Watermarking by Regions (in Japanese) KAWABATA Norifumi Proceedings of 3D Image Conference 2017 2-3 1 2017/07 ?
- A Study of the Multi-view 3D CG Image Quality Assessment Including the Image Characteristics KAWABATA Norifumi Doctor Dissertation, Department of Information Engineering, Graduate School of Information Science, Nagoya University 1 2017/01
- Statistical Analysis of Subjective Assessment for 3D CG Images with 8 Viewpoints Lenticular Lens Method Norifumi Kawabata,Yuukou Horita IIEEJ Transactions on Image Electronics and Visual Computing 4 2 101 2016/12
- Multi-view 3D CG Image Quality Assessment for Contrast Enhancement Including S-CIELAB Color Space in case the Background Region is Gray Scale Norifumi Kawabata,Masaru Miyao Proc. of The 31st International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC2016) 31st T2-6-3 579 2016/07
- Multi-view 3D CG Image Quality Evaluation Including Visible Digital Watermarking Based on Color Information Norifumi Kawabata,Masaru Miyao Proc. of The Eighth International Workshop on Image Media Quality and its Applications (IMQA2016) 8th OS1-3 18 2016/03
- 3D CG Image Quality Metrics by Regions with 8 Viewpoints Parallax Barrier Method Norifumi Kawabata,Masaru Miyao IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E98A 8 1696 2015/08
- 3D CG Image Quality Assessment for the Luminance Change by Contrast Enhancement Including S-CIELAB Color Space with 8 Viewpoints Parallax Barrier Method Norifumi Kawabata,Masaru Miyao Proc. of The 1st International Conference on Advanced Imaging (1st ICAI2015) 2015 T107-01 632 2015/06
- 3D CG Image Quality Metrics Including the Coded Degradation by Regions with 8 Viewpoints Parallax Barrier Method Norifumi Kawabata,Masaru Miyao,Yuukou Horita Proc. of The Seventh International Workshop on Image Media Quality and its Applications (IMQA2014) 7th PS-9 102 2014/09
- Statistical Analysis and Consideration of Subjective Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method Norifumi Kawabata,Yuukou Horita Proc. of The Sixth International Workshop on Image Media Quality and its Applications (IMQA2013) 6th T1-2 23 2013/09
- 3D CG Image Quality Evaluation with 8 Viewpoints Lenticular Lens Method (in Japanese) KAWABATA Norifumi Master Thesis, Department of Intellectual Information Engineering, Graduate School of Science and Engineering for Education, University of Toyama 1 2013/02
- Image Quality Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method Norifumi Kawabata,Keiji Shibata,Yasuhiro Inazumi,Yuukou Horita Proc. of The Fifth International Workshop on Image Media Quality and its Applications (IMQA2011) 5th D-10 88 2011/10
- 3D CG Video Quality Evaluation with Active Shutter Glasses Method (in Japanese) KAWABATA Norifumi Bachelor Thesis, Department of Intellectual Information Engineering, Faculty of Engineering, University of Toyama 1 2011/03
Conference Presentations
- Experimental Discussion on the Attention Mechanism of HEVC and 3D CG Images Using Vision Transformer (in Japanese)(conference：Media Engineering Technical Meeting)(2025/02/18)
- 3D CG Image Quality Assessment in Vision and Language Based on Stable Diffusion(conference：IS&T Electronic Imaging 2025)(2025/02/04)
- Image Quality Metrics for Cross Reality Considering Image Region and Perspective Based on 360 Degrees Camera(conference：The 31st International Display Workshops (IDW'24), Workshop on 3D/Hyper-Realistic Display System, Emerging Technologies for 3D/Hyper-Realistic Display)(2024/12/04)
- HEVC Image Evaluation and Analysis between Contrast and Rotation Based on Material Data Set of the Shitsukan Perception Standard Problem(conference：2024 IEEE 13th Global Conference on Consumer Electronics (GCCE 2024))(2024/10/31)
- XR Subjective Quality Evaluation Experiment of 3D CG Projected Video on a Holographic Display Prototype(conference：Image Media Quality Technical Meeting)(2024/10/18)
- Evaluation of 3D CG Image Colorization Quality Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning(conference：The 39th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC2024))(2024/07/04)
- Image Quality Assessment and Analysis on Glossy and Painted of 3D CG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem(conference：Image Media Quality Technical Meeting)(2024/05/24)
- A Fundamental Study on 3D CG Image Quality Assessment in Vision & Language Based on Stable Diffusion (in Japanese)(conference：Artistic Image Technology Technical Meeting)(2024/03/05)
- 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization (in Japanese)(conference：Image Engineering Technical Meeting)(2024/02/20)
- Wavelet Multi-Resolution Analysis of Color Laparoscopic Image before and after Contrast Enhancement (in Japanese)(conference：Media Engineering Technical Meeting)(2024/02/19)
- ROI Estimation of Laparoscopic Image Including Contrast Enhancement Based on Saliency Map(conference：The 27th International Workshop on Advanced Image Technology (IWAIT2024))(2024/01/08)
- HEVC Subjective and Objective Image Quality Assessment Considering Cross Reality Based on 360 Degrees Camera(conference：The 30th International Display Workshops (IDW'23), Workshop on 3D/Hyper-Realistic Displays and Systems / The 14th International Conference on Three Dimensional Systems and Applications (3DSA 2023))(2023/12/06)
- 3D CG Image Noise Removal and Quality Assessment Using Total Variation Regularization(conference：The 38th Picture Coding Symposium of Japan / The 28th Image Media Processing Symposium (PCSJ/IMPS2023))(2023/11/21)
- A Fundamental Study on Wavelet Analysis for Color Laparoscopic Image before and after Contrast Enhancement(conference：The 38th SIP Symposium 2023 (SIPS2023))(2023/11/07)
- A Study on HEVC Image Quality Assessment for eXtended Reality (XR) Considering Image Region and Perspective Based on 360 Degrees Camera (in Japanese)(conference：The 22nd Forum on Information Technology (FIT2023))(2023/09/06)
- Statistical Analysis on HEVC Image Quality for Contrast and Rotation Component of 3D CG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem (in Japanese)(conference：Media Engineering Technical Meeting)(2023/02/22)
- Optimal Design of Color Laparoscopic Super-Resolution Image Quality Based on Generative Adversarial Networks(conference：The 2023 International Conference on Computer Graphics and Image Processing (CGIP 2023))(2023/01/14)
- 3D CG Image Region of Interest Estimation and Visual Attention Based on Saliency Map(conference：The 29th International Display Workshops (IDW'22), Workshop on Applied Vision and Human Factors)(2022/12/15)
- HEVC Image Analysis Based on Material Data Set of Shitsukan Perception Standard Problem (in Japanese)(conference：The 37th Picture Coding Symposium of Japan / The 27th Image Media Processing Symposium (PCSJ/IMPS2022))(2022/11/30)
- HEVC Image Quality Assessment for eXtended Reality (XR) Based on 360 Degrees Camera (in Japanese)(conference：Image Media Quality Technical Meeting)(2022/10/21)
- Evaluation on Semantic Segmentation of Color Laparoscopic HEVC Images (in Japanese)(conference：The 41th Japanese Society of Medical Imaging Technology Annual Meeting (JAMIT2022))(2022/07/31)
- Data Set Production and Evaluation for Semantic Segmentation of 3D CG Images by H.265/HEVC(conference：The Eleventh International Workshop on Image Media Quality and its Applications (IMQA2022))(2022/03/04)
- Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map (in Japanese)(conference：Image Engineering Technical Meeting)(2022/02/21)
- Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding (in Japanese)(conference：Media Engineering Technical Meeting)(2022/02/21)
- Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks (in Japanese)(conference：Medical Imaging Technical Meeting)(2022/01/26)
- Visualization for Texture Analysis of the Shitsukan Research Database Based on Luminance Information(conference：IS&T Electronic Imaging 2022)(2022/01/20)
- Color Laparoscopic High-Definition Video Quality Assessment for Super-Resolution(conference：The 25th International Workshop on Advanced Image Technology (IWAIT2022))(2022/01/06)
- Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map (in Japanese)(conference：The 36th Picture Coding Symposium of Japan / The 26th Image Media Processing Symposium (PCSJ/IMPS2021))(2021/11/17)
- Region Of Interest (ROI) Estimation and Visual Attention of 3D CG Images Based on Saliency Map (Encouragement Session, in Japanese)(conference：The 20th Forum on Information Technology (FIT2021))(2021/08/25)
- Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks (Special Session on Biological Imaging and Medical AI of Japan Society for Medical and Biological Engineering, in Japanese)(conference：Medical Imaging Technical Meeting)(2021/03/17)
- 3D CG Image Noise Removal and Quality Assessment Based on Sparse Dictionary Learning(conference：The 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021))(2021/03/10)
- Self-Localization of Autonomous Car Using Autoware (in Japanese)(conference：Image Media Quality Technical Meeting)(2021/03/03)
- Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC (in Japanese)(conference：Image Engineering Technical Meeting)(2021/02/18)
- Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information (in Japanese)(conference：Media Engineering Technical Meeting)(2021/02/18)
- Color Laparoscopic Image Region Segmentation after Contrast Enhancement Including SRCNN by Image Regions(conference：International Forum on Medical Imaging in Asia (IFMIA2021))(2021/01/26)
- Semantic Segmentation of 3D CG Image by H.265/HEVC (in Japanese)(conference：The 35th Picture Coding Symposium of Japan / The 25th Image Media Processing Symposium (PCSJ/IMPS2020))(2020/11/16)
- An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution (in Japanese)(conference：Medical Imaging Technical Meeting)(2020/11/04)
- A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions (in Japanese, ME Technical Committee Feb 2020 Special Session)(conference：Media Engineering Technical Meeting)(2020/05/28)
- Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions(conference：The Tenth International Workshop on Image Media Quality and its Applications (IMQA2020))(2020/03/13)
- A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions (in Japanese)(conference：Media Engineering Technical Meeting)(2020/02/27)
- Medical Image Pre-processing Technology to Improve Deep Learning Accuracy (in Japanese)(conference：Technical Information Institute Seminar (How to make AI (Artificial Intelligence) and Deep Learning Analyzing Medical Images))(2019/12/05)
- Color Laparoscopic Image Diagnosis for Automatic Detection of Coded Defect Region(conference：The 5th Asia Color Association Conference (ACA2019 Nagoya))(2019/11/30)
- Computational Classification of Texture Contents in the Shitsukan Research Database(conference：The 26th International Display Workshops (IDW'19), Workshop on Applied Vision and Human Factors)(2019/11/29)
- A Study on Color Laparoscopic Image Quality by Difference of Contrast Enhancement Method (in Japanese)(conference：Picture Coding Symposium of Japan / Image Media Processing Symposium 2019)(2019/11/19)
- 3D CG Image Quality Assessment Including Noise Removal Based on Sparse Dictionary Learning Coding (in Japanese)(conference：Image Media Quality Technical Meeting)(2019/10/04)
- 3D CG Image Quality Assessment Including Noise Removal Based on Sparse Coding (in Japanese)(conference：2019 IEICE Society Conference)(2019/09/11)
- A Discussion on Optimum Condition between Contrast Enhancement and SRCNN Super-resolution Processing to Diagnose Color Laparoscopic Image (in Japanese)(conference：The Japan Society of Medical Imaging Technology Annual Meeting (JAMIT2019))(2019/07/26)
- A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions (in Japanese)(conference：Media Engineering Technical Meeting)(2019/02/19)
- Application for Medical Laparoscopic Image Diagnosis Based on Texture Analysis by Image Region (in Japanese)(conference：The 27th Annual Congress of Japan Society of Computer Aided Surgery)(2018/11/11)
- YIN (Young Investigator Networking) Session (in Japanese)(conference：The 27th Annual Congress of Japan Society of Computer Aided Surgery)(2018/11/09)
- Improvement of Laparoscopic Color Image Diagnosis for Automatic Detection of Coded Defect Region and its Application of Effective Classifier Parameter (in Japanese)(conference：Medical Imaging Technical Meeting)(2018/11/06)
- Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database (in Japanese)(conference：Image Media Quality Technical Meeting)(2018/10/19)
- HEVC Image Quality Assessment of the Multi-view and Super-resolution Images Based on CNN(conference：2018 IEEE 7th Global Conference on Consumer Electronics (GCCE2018))(2018/10/09)
- Image Diagnosis for Coded Defect Detection on Multi-view 3D Images(conference：The Ninth International Workshop on Image Media Quality and its Applications (IMQA2018))(2018/09/28)
- Texture Analysis of HEVC Image Quality on Texture Research Database (in Japanese)(conference：2018 IEICE Society Conference)(2018/09/14)
- Consideration between Color Information Analysis and Medical Image Diagnosis of Laparoscopic Images for Automatic Detection of Coded Defect Region Information (in Japanese)(conference：The Japan Society of Medical Imaging Technology Annual Meeting (JAMIT2018))(2018/07/26)
- Optimal Design and Coded Image Quality Assessment of the Multi-view and Super-resolution Images Based on Structure of Convolutional Neural Network (in Japanese)(conference：Image Media Quality Technical Meeting)(2018/05/25)
- A Fundamental Study on Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information (in Japanese)(conference：Image Engineering Technical Meeting)(2018/02/15)
- Multi-view 3D CG Image Quality Evaluation and Analysis for Application Procedure between H.265/HEVC and Watermarking(conference：The 21st International Workshop on Advanced Image Technology (IWAIT2018))(2018/01/09)
- A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images (in Japanese)(conference：Image Media Quality Technical Meeting)(2017/12/15)
- Image Quality Assessment of Multi-view 3D CG Images and 5K HIgh Definition Images Based on S-CIELAB Color Space(conference：The 24th International Display Workshops (IDW'17), Workshop on 3D/Hyper-Realistic Displays and Systems)(2017/12/08)
- A Study of Diagnostic Imaging System for Coded Defect Detection on Multi-view 3D CG Images (in Japanese)(conference：Picture Coding Symposium of Japan / Image Media Processing Symposium 2017)(2017/11/21)
- Consideration for Application Procedure between H.265/HEVC and Visible Digital Watermarking on the Multi-view 3D CG Image Quality Evaluation (in Japanese)(conference：Image Media Quality Technical Meeting)(2017/07/21)
- Comparison of the Multi-view 3D CG Image Quality Evaluation for the Difference of Background Color Including Visible Digital Watermarking by Regions (in Japanese)(conference：3D Image Conference 2017)(2017/07/06)
- Multi-view 3D CG Image Quality Evaluation Including the Coded Image Watermarking (in Japanese)(conference：Picture Coding Symposium of Japan / Image Media Processing Symposium 2016)(2016/11/16)
- Application of Classification Algorithm for the Image Quality Assessment of Multi-view 3D CG Images and 5K Images Including S-CIELAB Color Space (in Japanese)(conference：Image Media Quality Technical Meeting)(2016/12/16)
- Comparison for 3D CG Image Quality Assessment between Multi-view 3D and 5K Images Including S-CIELAB Color Space (in Japanese)(conference：Forum on Information Technology (FIT2016))(2016/09/07)
- Multi-view 3D CG Image Quality Assessment for Contrast Enhancement Including S-CIELAB Color Space in case the Background Region is Gray Scale(conference：The 31st International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC2016))(2016/07/12)
- Multi-view 3D CG Image Quality Assessment by Using S-CIELAB Color Space Including Visible Digital Watermarking by Regions in case the Background Region is Gray Scale(conference：Image Media Quality Technical Meeting)(2016/05/27)
- Multi-view 3D CG Image Quality Evaluation Including Visible Digital Watermarking Based on Color Information(conference：The Eighth International Workshop on Image Media Quality and its Applications (IMQA2016))(2016/03/10)
- Multi-view 3D CG Image Quality Evaluation Including Visible Digital Watermarking by Regions (in Japanese)(conference：Image Media Quality Technical Meeting)(2016/03/07)
- 3D CG Image Quality Evaluation Including Visible Digital Watermarking Based on Color Information with 8 Viewpoints Parallax Barrier Method (in Japanese)(conference：Image Engineering Technical Meeting)(2015/09/10)
- 3D CG Image Quality Metrics Including Gray Scale Region with 8 Viewpoints Glassless 3D Method (in Japanese)(conference：The 2015 ITE Annual Convention)(2015/08/28)
- 3D CG Image Quality Assessment for the Luminance Change by Contrast Enhancement Including S-CIELAB Color Space with 8 Viewpoints Parallax Barrier Method(conference：The 1st International Conference on Advanced Imaging (1st ICAI2015))(2015/06/18)
- 3D CG Image Quality Metrics for the Contrast Enhancement of the Object Region Including S-CIELAB Color Space with 8 Viewpoints Parallax Barrier Method(conference：Image Media Quality Technical Meeting)(2015/05/22)
- 3D CG Image Quality Evaluation Including S-CIELAB Color Space with 8 Viewpoints Glassless 3D (in Japanese)(conference：The 2015 General Conference of IEICE)(2015/03/10)
- 3D CG Image Quality Evaluation Including the Arrangement of Visible Digital Watermarking by Frequency Domain Transformation with 8 Viewpoints Glassless 3D Method (in Japanese)(conference：Image Media Quality Technical Meeting)(2015/03/04)
- 3D CG Image Quality Evaluation for the Number of Viewpoints Including Visible Digital Watermarking with 8 Viewpoints Glassless 3D Method (in Japanese)(conference：Image Media Quality (IMQ) Technical Meeting)(2014/12/20)
- 3D CG Image Quality Evaluation Including Digital Watermarking with 8 Viewpoints Glassless 3D (in Japanese)(conference：Picture Coding Symposium of Japan (PCSJ/IMPS2014))(2014/11/13)
- 3D CG Image Quality Metrics Including the Coded Degradation by Regions with 8 Viewpoints Parallax Barrier Method(conference：The Seventh International Workshop on Image Media Quality and its Applications (IMQA2014))(2014/09/03)
- Subjective Evaluation for Image Quality when the Background Region is Gray Scale in the case of Occurring the Coded Degradation for Background or Object Region of 3D CG Images with 8-Viewpoints Parallax Barrier Method (in Japanese)(conference：Image Media Quality (IMQ) Technical Meeting)(2014/08/01)
- Evaluation Experiment for Subjective Image Quality in case of Occurring the Coded Degradation for Objects or Background Region of 3D CG Images with 8-Viewpoints Parallax Barrier Method (in Japanese)(conference：Image Media Quality (IMQ) Technical Meeting)(2014/05/16)
- Statistical Analysis of Questionnaire Survey on the Evaluation of 3D Video Clips (in Japanese)(conference：Image Media Quality (IMQ) Technical Meeting)(2013/12/13)
- Statistical Analysis and Consideration of Subjective Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method(conference：The Sixth International Workshop on Image Media Quality and its Applications (IMQA2013))(2013/09/12)
- Statistical Analysis of Subjective Evaluation of 3D CG Image with 8 Viewpoints Lenticular Lens Method (in Japanese)(conference：Image Media Quality (IMQ) Technical Meeting)(2013/05/17)
- Image Quality Evaluation of Three-Dimensional CG Images with 8 Viewpoints Lenticular Lens Method for Occurring Coded Degradation at Certain Viewpoints (in Japanese)(conference：Image Media Quality (IMQ) Technical Meeting)(2012/10/12)
- Video Quality Evaluation of Camera's interval and number of Viewpoints in three-dimensional CG Videos with 8 Viewpoints Lenticular Lens Method (in Japanese)(conference：Image Engineering (IE) Technical Meeting)(2012/03/12)
- Image Quality Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method(conference：The Fifth International Workshop on Image Media Quality and its Applications (IMQA2011))(2011/10/05)
- Image Quality Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method (Image Media Quality, in Japanese)(conference：The 2011 Society Conference of IEICE)(2011/09/15)
- Video Quality Evaluation of three-dimensional CG Movies with Active Shutter Glasses (in Japanese)(conference：Image Media Quality (IMQ) Technical Meeting)(2011/03/18)
Others
- Experimental Discussion on the Attention Mechanism of HEVC and 3D CG Images Using Vision Transformer (Image processing and general, in Japanese) KAWABATA Norifumi ITE Tech. Rep. ME, Media Engineering 49 4 96 2025/02
- XR Subjective Quality Evaluation Experiment of 3D CG Projected Video on a Holographic Display Prototype (Image Media Quality and General, in Japanese) KAWABATA Norifumi IEICE Tech. Rep. IMQ, Image Media Quality 124 219 1 2024/10
- Image Quality Assessment and Analysis on Glossy and Painted of 3DCG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem (Image Media Quality and General etc., in Japanese) KAWABATA Norifumi IEICE Tech. Rep. IMQ, Image Media Quality 124 46 7 2024/05
- A Fundamental Study on 3D CG Image Quality Assessment in Vision & Language Based on Stable Diffusion (Expressive Japan 2024, in Japanese) KAWABATA Norifumi ITE Tech. Rep. AIT, Artistic Image Technology 48 8 288 2024/03
- Wavelet Multi-Resolution Analysis of Color Laparoscopic Image before and after Contrast Enhancement (Image Processing and General, in Japanese) KAWABATA Norifumi ITE Tech. Rep. ME, Media Engineering 48 6 61 2024/02
- 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization (Image Processing and General, in Japanese) KAWABATA Norifumi IEICE Tech. Rep. IE, Image Engineering 123 381 112 2024/02
- 3D CG Image Noise Removal and Quality Assessment Using Total Variation Regularization (PCSJ/IMPS2023, in Japanese) KAWABATA Norifumi The Proceedings of Picture Coding Symposium of Japan / Image Media Processing Symposium 38th / 28th P3-02 80 2023/11
- A Fundamental Study on Wavelet Analysis for Color Laparoscopic Image before and after Contrast Enhancement (SIPS2023, in Japanese) KAWABATA Norifumi Proceedings of the SIP Symposium (CD-ROM) 38th P1-10 2 pages 2023/11
- A Study on HEVC Image Quality Assessment for eXtended Reality (XR) Considering Image Region and Perspective Based on 360 Degrees Camera (Field I, Graphics, Images, General, in Japanese) KAWABATA Norifumi Proc. of Forum on Information Technology 22nd I-009 245 2023/09
- Statistical Analysis on HEVC Image Quality for Contrast and Rotation Component of 3D CG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem (Image Processing and General, in Japanese) KAWABATA Norifumi ITE Tech. Rep. ME, Media Engineering 47 6 247 2023/02
- HEVC Image Analysis Based on Material Data Set of the Shitsukan Perception Standard Problem (PCSJ/IMPS2022, in Japanese) KAWABATA Norifumi The Proceedings of Picture Coding Symposium of Japan / Image Media Processing Symposium 37th / 27th P3-21 136 2022/11
- HEVC Image Quality Assessment for eXtended Reality (XR) Based on 360 Degrees Camera (Visual Perception and IMQ, etc., in Japanese) KAWABATA Norifumi IEICE Tech. Rep. IMQ, Image Media Quality 122 224 7 2022/10
- Evaluation on Semantic Segmentation of Color Laparoscopic HEVC Images (Segmentation 2, in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya Proc. of The 41th JAMIT Annual Meeting (JAMIT2022) 41st OP14-5 230 2022/07
- Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding (in Japanese) KAWABATA Norifumi ITE Tech. Rep. ME, Media Engineering 46 6 31 2022/02
- Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map (in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya IEICE Tech. Rep. IE, Image Engineering 121 374 55 2022/02
- Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks (Medical Imaging and General (Medical Imaging Forum), in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya IEICE Tech. Rep. MI, Medical Imaging 121 347 59 2022/01
- Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map (PCSJ/IMPS2021, in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya The Proceedings of Picture Coding Symposium of Japan / Image Media Processing Symposium 36th / 26th P3-15 133 2021/11
- Region Of Interest (ROI) Estimation and Visual Attention of 3D CG Images Based on Saliency Map (in Japanese) KAWABATA Norifumi Proc. of Forum on Information Technology 20th CI-002 21 2021/08
- Self-Localization of Autonomous Car Using Autoware (Online Media and its Evaluation for Five Senses, in Japanese) KAWABATA Norifumi,KUWABARA Yukiya,KAWASAKI Takumi IEICE Tech. Rep. IMQ, Image Media Quality 120 389 103 2021/03
- Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks (Medical Imaging and General (Medical Imaging Forum), in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya IEICE Tech. Rep. MI, Medical Imaging 120 431 186 2021/03
- Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC (Image Processing etc., in Japanese) KAWABATA Norifumi IEICE Tech. Rep. Image Engineering 120 364 19 2021/02
- Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information (Image Processing etc., in Japanese) KAWABATA Norifumi ITE Tech. Rep. ME, Media Engineering 45 4 53 2021/02
- Semantic Segmentation of 3D CG Image by H.265/HEVC (PCSJ/IMPS2020, in Japanese) KAWABATA Norifumi Proc. of Picture Coding Symposium of Japan / Image Media Processing Symposium 35th / 25th P2-C-2 63 2020/11
- An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution (Medical Imaging and General etc., in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya IEICE Tech. Rep. MI, Medical Imaging 120 220 60 2020/11
- A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions (Image Processing and General etc., in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya ITE Tech. Rep. ME, Media Engineering 44 6 113 2020/02
- Medical Image Pre-processing Technology to Improve Deep Learning Accuracy (How to make AI and Deep Learning analyzing Medical Imaging, in Japanese) KAWABATA Norifumi Technical Information Institute Seminar Report 1 2019/12
- A Study on Color Laparoscopic Image Quality by Difference of Contrast Enhancement Method (PCSJ/IMPS2019, in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya The Proceedings of Picture Coding Symposium of Japan / Image Media Processing Symposium (PCSJ/IMPS2019) 34th / 24th P-2-17 88 2019/11
- 3D CG Image Quality Assessment Including Noise Removal Based on Sparse Dictionary Learning Coding (Image Processing and IMQ etc., in Japanese) KAWABATA Norifumi IEICE Tech. Rep. IMQ, Image Media Quality 119 215 1 2019/10
- B-11-32 3D CG Image Quality Assessment Including Noise Removal Based on Sparse Coding (B-11. / A-16. Communication Quality / Image Media Quality, General, in Japanese) KAWABATA Norifumi Proceedings of The Society Conference of IEICE 2019 ROMBUNNO. B-11-32 188 2019/09
- A Discussion on Optimum Condition between Contrast Enhancement and SRCNN Super-resolution Processing to Diagnose Color Laparoscopic Image (Imaging/Image quality improvement, in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya Proceedings of the Japan Society of Medical Imaging Technology Annual Meeting (JAMIT 2019) 38th OP5-06 586 2019/07
- A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions (Image Processing, etc., in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya ITE Tech. Rep. ME, Media Engineering 43 5 125 2019/02
- Improvement of Laparoscopic Color Image Diagnosis for Automatic Detection of Coded Defect Region and Application of Effective Classifier Parameter (Healthcare and Medical Information and Communication Technology, Medical Imaging, in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya IEICE Tech. Rep. MI, Medical Imaging 118 286 21 2018/11
- Application for Medical Image Diagnosis Based on Texture Analysis of Color Laparoscopic Coded Images (XI. Imaging 6, Surgery Center, Environmental System 2, in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya Journal of Japan Society of Computer Aided Surgery 20 4 366 2018/11
- Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database (Visual Perception and IMQ, in Japanese) KAWABATA Norifumi IEICE Tech. Rep. IMQ, Image Media Quality 118 256 13 2018/10
- A-16-3 Texture Analysis of HEVC Image Quality on Texture Research Database (A-16. Image Media Quality, General, in Japanese) KAWABATA Norifumi Proceedings of The Society Conference of IEICE 2018 ROMBUNNO. A-16-3 135 2018/09
- Consideration on Color Information Analysis of Laparoscopic Images and Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information (Computer Aided Diagnosis (CAD), JAMIT2018, in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya Proceedings of the Japan Society of Medical Imaging Technology Annual Meeting (JAMIT 2018) 37th OP6-5 249 2018/07
- Optimal Design and Coded Image Quality Assessment of the Multi-view and Super-resolution Images Based on Structure of Convolutional Neural Network (Image Media Quality and General, in Japanese) KAWABATA Norifumi IEICE Tech. Rep., IMQ, Image Media Quality 118 65 15 2018/05
- A Fundamental Study on Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information (Image Processing, etc., in Japanese) KAWABATA Norifumi,NAKAGUCHI Toshiya IEICE Tech. Rep. IE, Image Engineering 117 432 77 2018/02
- A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images (Video Display, in Japanese) KAWABATA Norifumi IEICE Tech. Rep. IMQ, Image Media Quality 117 356 7 2017/12
- A Study of Diagnostic Imaging System for Coded Defect Detection on Multi-view 3D CG Images (PCSJ/IMPS2017, in Japanese) KAWABATA Norifumi The Proceedings of Picture Coding Symposium of Japan / Image Media Processing Symposium (PCSJ/IMPS2017) 32nd / 22nd P-4-01 130 2017/11
- Consideration for Application Procedure between H.265/HEVC and Visible Digital Watermarking on the Multi-view 3D CG Image Quality Evaluation (Human Information Processing and Image Media Quality, in Japanese) KAWABATA Norifumi IEICE Tech. Rep. IMQ, Image Media Quality 117 144 15 2017/07
- Application of Classification Algorithm for the Image Quality Assessment of Multi-view 3D CG Images and 5K Images Including S-CIELAB Color Space (Computer Graphics, in Japanese) KAWABATA Norifumi,MIYAO Masaru IEICE Tech. Rep. IMQ, Image Media Quality 116 369 13 2016/12
- Multi-view 3D CG Image Quality Evaluation Including the Coded Image Watermarking (PCSJ/IMPS2016, in Japanese) KAWABATA Norifumi,MIYAO Masaru The Proceedings of Picture Coding Symposium of Japan / Image Media Processing Symposium (PCSJ/IMPS2016) 31st / 21st P-2-19 98 2016/11
- Comparison for 3D CG Image Quality Assessment between Multi-view 3D and 5K Images Including S-CIELAB Color Space (Field I: Graphics and Image, in Japanese) KAWABATA Norifumi,MIYAO Masaru Proc. of Forum on Information Technology 15th 3 223 2016/09
- Multi-view 3D CG Image Quality Assessment by Using S-CIELAB Color Space Including Visible Digital Watermarking by Regions in case the Background Region is Gray Scale (Image Media Quality etc.) KAWABATA Norifumi,MIYAO Masaru IEICE Tech. Rep. IMQ, Image Media Quality 116 68 1 2016/05
- Multi-view 3D CG Image Quality Evaluation Including Visible Digital Watermarking by Regions (Five senses media etc., General, in Japanese) KAWABATA Norifumi,MIYAO Masaru IEICE Tech. Rep. IMQ, Image Media Quality 115 493 97 2016/03
- 3D CG Image Quality Evaluation Including Visible Digital Watermarking Based on Color Information with 8 Viewpoints Parallax Barrier Method (Multimedia Communication and Systems etc., in Japanese) KAWABATA Norifumi,MIYAO Masaru IEICE Tech. Rep. IE, Image Engineering 115 220 27 2015/09
- 3D CG Image Quality Metrics Including Gray Scale Region with 8 Viewpoints Glassless 3D Method (Picture Coding, in Japanese) KAWABATA Norifumi,MIYAO Masaru Proceedings of the 2015 ITE Annual Convention 2015 32B-2 32B-2-1 2015/08
- 3D CG Image Quality Metrics for the Contrast Enhancement of the Object Region Including S-CIELAB Color Space with 8 Viewpoints Parallax Barrier Method (Quality Metrics and IMQ etc.) KAWABATA Norifumi,MIYAO Masaru IEICE Tech. Rep. IMQ, Image Media Quality 115 48 17 2015/05
- A-21-2 3D CG Image Quality Evaluation Including S-CIELAB Color Space with 8 Viewpoints Glassless 3D (A-21. Image Media Quality, General, in Japanese) KAWABATA Norifumi,MIYAO Masaru Proceedings of the General Conference of IEICE 2015 ROMBUNNO. A-21-2 292 2015/03
- 3D CG Image Quality Evaluation Including the Arrangement of Visible Digital Watermarking by Frequency Domain Transformation with 8 Viewpoints Glassless 3D Method (Five senses media etc., General, in Japanese) KAWABATA Norifumi,MIYAO Masaru IEICE Tech. Rep. IMQ, Image Media Quality 114 485 107 2015/03
- 3D CG Image Quality Evaluation for the Number of Viewpoints Including Visible Digital Watermarking with 8 Viewpoints Glassless 3D Method (Medical Imaging, in Japanese) KAWABATA Norifumi,MIYAO Masaru IEICE Tech. Rep. IMQ, Image Media Quality 114 386 39 2014/12
- 3D CG Image Quality Evaluation Including Digital Watermarking with 8 Viewpoints Glassless 3D (PCSJ/IMPS2014, in Japanese) KAWABATA Norifumi,MIYAO Masaru Proceedings of Picture Coding Symposium of Japan (PCSJ/IMPS2014) 29th P4-06 65 2014/11
- Subjective Evaluation for Image Quality when the Background Region is Gray Scale in the case of Occurring the Coded Degradation for Background or Object Region of 3D CG Images with 8-Viewpoints Parallax Barrier Method (Quality Metrics, IMQ, in Japanese) KAWABATA Norifumi,MIYAO Masaru IEICE Tech. Rep. IMQ, Image Media Quality 114 171 25 2014/08
- Evaluation Experiment for Subjective Image Quality in case of Occurring the Coded Degradation for Objects or Background Region of 3D CG Images with 8-Viewpoints Parallax Barrier Method (Image Media Quality and General, in Japanese) KAWABATA Norifumi,MIYAO Masaru,HORITA Yuukou IEICE Tech. Rep. IMQ, Image Media Quality 114 35 25 2014/05
- Statistical Analysis of Questionnaire Survey on the Evaluation of 3D Video Clips (Display Technology, in Japanese) KAWABATA Norifumi,MIYAO Masaru IEICE Tech. Rep. IMQ, Image Media Quality 113 350 27 2013/12
- Statistical Analysis of Subjective Evaluation of 3D CG Image with 8 Viewpoints Lenticular Lens Method (Image Media Quality, in Japanese) KAWABATA Norifumi,HORITA Yuukou IEICE Tech. Rep. IMQ, Image Media Quality 113 45 19 2013/05
- Image Quality Evaluation of Three-Dimensional CG Images with 8 Viewpoints Lenticular Lens Method for Occurring Coded Degradation at Certain Viewpoints (Human Interface, in Japanese) KAWABATA Norifumi,SHIBATA Keiji,INAZUMI Yasuhiro,HORITA Yuukou IEICE Tech. Rep. IMQ, Image Media Quality 112 234 17 2012/10
- Video Quality Evaluation of Camera's interval and number of Viewpoints in three-dimensional CG Videos with 8 Viewpoints Lenticular Lens Method (Quality of Five Senses Media etc., General Area, in Japanese) KAWABATA Norifumi,SHIBATA Keiji,INAZUMI Yasuhiro,HORITA Yuukou IEICE Tech. Rep. IE, Image Engineering 111 478 109 2012/03
- A-21-4 Image Quality Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method (A-21. Image Media Quality, General, in Japanese) KAWABATA Norifumi,SHIBATA Keiji,INAZUMI Yasuhiro,HORITA Yuukou Proceeding of The Society Conference of IEICE 2011 ROMBUNNO. A-21-4 239 2011/09
- Video Quality Evaluation of three-dimensional CG Movies with Active Shutter Glasses (Display Technology, in Japanese) KAWABATA Norifumi,SHIBATA Keiji,INAZUMI Yasuhiro,HORITA Yuukou IEICE Tech. Rep. IMQ, Image Media Quality 2010 4 11 2011/03
Arts and Fieldwork
○Information System Design Based on Information and Communication Technology (Mathematical Data Science and DX)(2025/04/01-)(place：Emerging Media Initiative, Kanazawa University)
○Optimal Design of MATLAB and Python Code on 360 Degree Image and Video Processing and Quality Assessment(2021/05/01-)(place：Tokyo University of Science, Nagoya University, Hokkaido University, Computational Imaging Lab, Kanazawa Gakuin University, Kanazawa University)
○Optimal Design of MATLAB Code on Semantic Segmentation of 3D CG Contents(2020/04/01-)(place：Tokyo University of Science, Nagoya University, Hokkaido University, Computational Imaging Lab, Kanazawa Gakuin University, Kanazawa University)
○Optimal Design to restore color images using sparse representation(2019/04/01-)(place：Tokyo University of Science, Nagoya University, Hokkaido University, Computational Imaging Lab, Kanazawa Gakuin University, Kanazawa University)
○Optimal Design of MATLAB and Python Code for Medical Image Processing(2017/04/01-)(place：Tokyo University of Science, Nagoya University, Hokkaido University, Computational Imaging Lab, Kanazawa Gakuin University, Kanazawa University)
○Optimal Design of MATLAB Code for Visible Diginal Watermarking and Information Hiding Technology(2014/09/01-)(place：Nagoya University, Chiba University, Tokyo University of Science, Hokkaido University, Computational Imaging Lab, Kanazawa Gakuin University, Kanazawa University)
○Optimal Design of MATLAB Code for Multi-view 3D Image Processing(2011/04/01-)(place：University of Toyama, Nagoya University, Chiba University, Tokyo University of Science, Hokkaido University, Computational Imaging Lab, Kanazawa Gakuin University, Kanazawa University)
○Optimal Design of MATLAB Code for Color Imaging Science(2010/12/01-)(place：University of Toyama, Nagoya University, Chiba University, Tokyo University of Science, Hokkaido University, Computational Imaging Lab, Kanazawa Gakuin University, Kanazawa University)
○Web Page and Design Production by Comtents Management System (CMS), PukiWiki, WordPress and Web Server Management(2009/04/01-)(place：University of Toyama, Nagoya University, Chiba University, Tokyo University of Science, Hokkaido University, Computational Imaging Lab, Kanazawa Gakuin University, Kanazawa University)
○Research on Image and Signal Processing (such as Computational Imaging) Based on Mathematical and Data Science(2024/05/01-2025/03/31)(place：Computational Imaging Lab)
○Management and Administration of Computational Imaging Lab Information Platform(2022/05/19-2025/03/31)(place：Computational Imaging Lab)
○Education and Research on Computer Engineering (Signal Processing: Data-Driven Signal Dynamics)(2024/04/01-2024/04/30)(place：Kanazawa Gakuin University)
○Education and Research on Multimedia Signal Processing (Data-Driven Signal Dynamics) towards Economic Informatics(2023/04/01-2024/04/30)(place：Kanazawa Gakuin University)
○2023 Programming III b Handout (sharing, Data Processing, Data Cleaning, Computer Graphics, Game Informatics)(2023/11/15-2024/01/24)(place：Kanazawa Gakuin University)
○2023 Programming I b Handout (sharing, Algorithm and Data Structure (Scratch))(2023/11/20-2024/01/22)(place：Kanazawa Gakuin University)
○2023 Basic Seminar II Handout (Image Processing, Multimedia Processing)(2023/09/15-2024/01/19)(place：Kanazawa Gakuin University)
○2023 Basic Computer Exercises IIb Handout (Mathematical and Data Science AI, Excel)(2023/11/16-2024/01/18)(place：Kanazawa Gakuin University)
○2023 Database II Handout (Sharing, SQL)(2023/09/20-2024/01/15)(place：Kanazawa Gakuin University)
○2023 Programming I a Handout (sharing, Algorithm and Data Structure (Scratch))(2023/09/20-2023/11/13)(place：Kanazawa Gakuin University)
○2023 Basic Computer Exercises IIa Handout (Mathematical and Data Science AI, Excel)(2023/09/14-2023/11/09)(place：Kanazawa Gakuin University)
○2023 Programming III a Handout (sharing, Text Processing, Natural Language Processing, Acoustic and Sound Processing, Image Processing)(2023/09/13-2023/11/08)(place：Kanazawa Gakuin University)
○AY 2023 Basic Programming b Handout (sharing, PBL in Scratch)(2023/06/12-2023/07/31)(place：Kanazawa Gakuin University)
○AY 2023 Basic Computer Exercises I b Handout (sharing, Information literacy and Word processor, Information communication and network, Information morality, Information representation)(2023/06/08-2023/07/27)(place：Kanazawa Gakuin University)
○AY 2023 Programming IV b Handout (sharing, Web Programming)(2023/06/07-2023/07/26)(place：Kanazawa Gakuin University)
○AY 2023 Database I Handout (sharing, Relational Database System)(2023/04/10-2023/07/24)(place：Kanazawa Gakuin University)
○AY 2023 Basic Seminar's Handout (Signal Processing)(2023/04/07-2023/07/21)(place：Kanazawa Gakuin University)
○AY 2023 Basic Programming a Handout (sharing, Scratch introduction)(2023/04/10-2023/06/05)(place：Kanazawa Gakuin University)
○AY 2023 Basic Computer Exercises I a Handout (sharing, Information literacy and Word processor)(2023/04/06-2023/06/01)(place：Kanazawa Gakuin University)
○AY 2023 Programming IV a Handout (sharing, Python and probability statistics)(2023/04/12-2023/05/31)(place：Kanazawa Gakuin University)
○Computational Imaging Lab Information Platform (MDS and AI Application Basis (Fundamental of AI))(2023/02/17-2023/03/31)(place：Computational Imaging Lab)
○Computational Imaging Lab Information Platform (MDS and AI Application Basis (Fundamental of Data Engineering))(2023/01/06-2023/03/31)(place：Computational Imaging Lab)
○Computational Imaging Lab Information Platform (MDS and AI Application Basis (Fundamental of Data Science))(2022/11/18-2023/03/31)(place：Computational Imaging Lab)
○Research on Image Information Processing (such as Computational Imaging) Based on Mathematical and Data Science(2022/04/01-2023/03/31)
○MDS Platform (Clustering)(2021/11/19-2021/12/17)(place：Education and Research Center for Mathematical and Data Science, Hokkaido University)
○MDS Platform (Optimization)(2022/01/07-2022/03/31)(place：Research Center for Mathematical and Data Science, Hokkaido University)
○Education and Research on Doctoral program for Data-Related InnoVation Expert (D-DRIVE) (such as dispatching doctoral students to High School etc.)(2021/10/01-2022/03/31)(place：Education and Research Center for Mathematical and Data Science, Hokkaido University)
○A Study Support on Smart Hospital Project such as Research and Development Support of Power Strip to Tracking Medical Equipment in Nagoya University Hospital(2021/08/01-2021/09/30)(place：Medical IT Center, Nagoya University Hospital)
○Advanced Studies and Researches' Handout (Computational Imaging Studies)(2019/04/01-2021/07/31)(place：Tokyo University of Science)
○Advanced Studies and Researches' Handout (Skill Seminar (Python, Data Science))(2019/04/01-2021/07/31)(place：Tokyo University of Science)
○Advanced Studies and Researches' Handout (Image Processing Seminar)(2019/04/01-2021/07/31)(place：Tokyo University of Science)
○Seminar's Handout (Computer Graphics and its Exercise)(2021/06/08-2021/07/20)(place：Tokyo University of Science)
○Seminar's Handout (Computer Hardware and its Exercise)(2021/04/13-2021/06/01)(place：Tokyo University of Science)
○Exercises' Handout in Information Sciences (Image Processing)(2020/07/29-2020/09/04)(place：Tokyo University of Science)
○Exercises' Handout in Information Sciences (Embedded System)(2020/07/03-2020/07/24)(place：Tokyo University of Science)
○Exercises' Handout in Information Sciences (Object-oriented Language Java)(2019/09/13-2019/10/09)(place：Tokyo University of Science)
○Experiments' Handout in Information Sciences (OCaml of non-procedual language)(2019/05/31-2019/06/14)(place：Tokyo University of Science)
○Research and Development Support on the Next Generation Transportation and Information System (Autonomous) towards Mobility Society(2018/04/01-2019/03/31)(place：Institutes of Innovation for Future Society, Nagoya University)
○Research and Development of Medical Support Information System Using Virtual Reality Device(2017/04/01-2018/03/31)(place：Center for Frontier Medical Engineering (CFME), Chiba University)
○Editing and Creation of 3DCG Image and Video, and Stereoscopic Image and Video to present for Multi-view 3D Display (Camera, Animation, and Rendering)(2010/05/01-2017/03/31)(place：University of Toyama, Nagoya University)
○Useful Windows Application of Electronic Questionnaire System for Image Quality Evaluation Experiment(2012/04/01-2013/03/31)(place：University of Toyama)
○i appli Java Action Game Development for Mobile Phone(2009/04/01-2010/03/31)(place：University of Toyama)
Patent
Theme to the desired joint research
○Signal and Media Processing based on Color Information Engineering
○Signal and Media Processing for Computer Graphics
○Signal and Media Processing for Interactive System (such as Visual Media)
○Signal and Media Processing for Medical System
○Signal and Media Processing for Mobility and Social System
○Signal and Media Processing Research for Dynamic Information Processing towards Data-Driven DX Society
Grant-in-Aid for Scientific Research
Competitive research funding,Contribution
○A Study on Multimedia Signal Processing in a Data-Driven Digital Transformation (DX) Society Faculty Personal Research Fund in Kanazawa Gakuin University Kanazawa Gakuin University(2023-2023)
○ROI Estimation of Laparoscopic Image Including Contrast Enhancement Based on Saliency Map (IWAIT2024) December R.5 Traveling abroad Travel Expenses Assistance in The Telecommunications Advancement Foundation The Telecommunications Advancement Foundation(2023-2023)
○A Study on 360 Degrees Image and Video Quality Assessment Education and Research for Academic Faculty Staff in R. 3 Education and Research Fund for Academic Faculty Staff Tokyo University of Science(2021-2021)
○A Study on Semantic Segmentation of 3D CG Coded Images by H.265/HEVC Education and Research for Academic Faculty Staff in R. 2, Education and Research Fund for Academic Faculty Staff, Tokyo University of Science Tokyo University of Science(2020-2020)
○A Study on Noise Removal of 3D CG Images Based on Sparse Dictionary Learning and Coding Education and Research for Academic Faculty Staff in H.31 and R. 1, Education and Research Fund for Academic Faculty Staff, Tokyo University of Science Tokyo University of Science(2019-2019)
○Multi-view 3D CG Image Quality Evaluation and Analysis for Application Procedure between H.265/HEVC and Watermarking (IWAIT2018) Traveling abroad Travel Expenses Assistance in The Telecommunications Advancement Foundation The Telecommunications Advancement Foundation(2017-2017)
○Multi-view 3D CG Image Quality Assessment for Contrast Enhancement Including S-CIELAB Color Space in case the Background Region is Gray Scale (ITC-CSCC2016) Support Grant for student to participate in the International Conference The Institute of Image Information and Television Engineers(2016-2016)
○A Study of 3D CG Image Quality Assessment Including S-CIELAB Color Space with 8 Viewpoints Parallax Barrier Method Nagoya University Research Grant for Ph.D. Student (FY2015) Nagoya University(2015-2015)
○A Study of 3D CG Image Quality Assessment and Region of Interest with 8 Viewpoints Parallax Barrier Method Nagoya University Research Grant for Ph.D. Student (FY2014) Nagoya University(2014-2014)
○Statistical Analysis of Questionnaire Survey on the Evaluation of 3D Video Clips Nagoya University Research Assistant by Outstanding Graduate COE support subsidy Nagoya University(2013-2013)
Collaborative research,Consignment study
Classes (Bachelors)
Classes (Graduate Schools)
International Project
International Students
Lecture themes
○A Study on Multi-view 3D Image Quality Assessment
○A Study on Medical Image Processing, Recognition, and Assessment to Improve Accuracy of Deep Learning Approaching from Information Science