Achievement

Journal Papers (Peer-reviewed)

Full Paper

Journal Papers (Conditional Acceptance)

Full Paper

  1. Norifumi Kawabata,
    Final revision, on May 24, 2021.

International Conference Papers, Proceedings (Peer-reviewed)

  1. Norifumi Kawabata,
    “Visualization for Texture Analysis of the Shitsukan Research Database Based on Luminance Information,"(Accepted)
  2. Norifumi Kawabata and Toshiya Nakaguchi,
    “Color Laparoscopic High-Definition Video Quality Assessment for Super-Resolution," (Accepted)
  3. Norifumi Kawabata,
    “3D CG Image Noise Removal and Quality Assessment Based on Sparse Dictionary Learning,"
    Proc. of The 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021),
    OS-AIT1-3 (Advanced Image Technology in Applied Life Science: IoT & Deep Learning Perspectives), pp.225–226, Nara Royal Hotel, Nara, Japan (Hybrid), March 9-11, 2021.
  4. Norifumi Kawabata and Toshiya Nakaguchi,
    “Color Laparoscopic Image Region Segmentation after Contrast Enhancement Including SRCNN by Image Regions,"
    Proc. of SPIE (The International Forum on Medical Imaging in Asia (IFMIA2021)),
    6 pages, National Taiwan University of Science and Technology (Online), January 24-26, 2021.
  5. Norifumi Kawabata and Toshiya Nakaguchi,
    “Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions,"
    Proc. of The Tenth International Workshop on Image Media Quality and its Applications (IMQA2020),
    PS2-4, 6 pages, National Taiwan University of Science and Technology, Taiwan, March 12-13, 2020.
  6. Norifumi Kawabata and Toshiya Nakaguchi,
    “Color Laparoscopic Image Diagnosis for Automatic Detection of Coded Defect Region,"
    Proc. of The 5th Asia Color Association Conference (ACA2019 Nagoya),
    Vol.5, P1-25, pp.487–492, Meijo Univ., Nagoya, Japan, November 29–December 2, 2019.
  7. Norifumi Kawabata,
    “Computational Classification of Texture Contents in the Shitsukan Research Database,"
    Proc. of The 26th International Display Workshops (IDW’19),
    Workshop on Applied Vision and Human Factors,
    Vol.26, VHF7-3, pp.1185–1188, Sapporo Convention Center, Sapporo, Japan, November 27-29, 2019.
  8. Norifumi Kawabata,
    “HEVC Image Quality Assessment of the Multi-view and Super-resolution Images Based on CNN,"
    Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018),
    POS1A-3, pp.38–39, Nara Royal Hotel, Nara, Japan, October 9-12, 2018.
  9. Norifumi Kawabata,
    “Image Diagnosis for Coded Defect Detection on Multi-view 3D Images,"
    Proc. of The Ninth International Workshop on Image Media Quality and its Applications (IMQA2018),
    PS-10, pp.110–119, Kobe Univ., September 27-28, 2018.
  10. Norifumi Kawabata,
    “Multi-view 3D CG Image Quality Evaluation and Analysis for Application Procedure between H.265/HEVC and Watermarking,"
    Proc. of The 21st International Workshop on Advanced Image Technology (IWAIT2018),
    D3-3, 4 pages, The Imperial Mae Ping Hotel, Chiang Mai, Thailand, January 7-9, 2018 (Traveling abroad Travel Expenses Assistance in the Telecommunications Advancement Foundation).
  11. Norifumi Kawabata,
    “Image Quality Assessment for Multi-view 3D CG Images and 5K High Definition Images Based on S-CIELAB Color Space,"
    Proc. of The 24th International Display Workshops (IDW’17),
    Workshop on 3D/Hyper-Realistic Displays and Systems,
    Vol.24, 3D5-1, pp.849–852, Sendai International Center, Sendai, Japan, December 6-8, 2017.
  12. Norifumi Kawabata and Masaru Miyao,
    “Multi-view 3D CG Image Quality Assessment for Contrast Enhancement Including S-CIELAB Color Space in case the Background Region is Gray Scale,"
    Proc. of The 31st International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC2016),
    T2-6-3, pp. 579–582, Municipal Center (Jichikaikan), Okinawa, Japan, July 10-13, 2016 (ITE International Conference Support Grant for Student).
  13. Norifumi Kawabata and Masaru Miyao,
    “Multi-view 3D CG Image Quality Evaluation Including Visible Digital Watermarking Based on Color Information,"
    Proc. of The Eighth International Workshop on Image Media Quality and its Applications (IMQA2016),
    OS1-3, pp.18–26, Noyori Conference Hall, Higashiyama Campus, Nagoya Univ., March 10-11, 2016.
  14. Norifumi Kawabata and Masaru Miyao,
    “3D CG Image Quality Assessment for the Luminance Change by Contrast Enhancement Including S-CIELAB Color Space with 8 Viewpoints Parallax Barrier Method,"
    Proc. of The 1st International Conference on Advanced Imaging (1st ICAI2015),
    T107-01, pp.632–635, National Center of Science (Hitotsubashi Memorial Hall), Tokyo, Japan, June 17-19, 2015.
  15. Norifumi Kawabata, Masaru Miyao, and Yuukou Horita,
    “3D CG Image Quality Metrics Including the Coded Degradation by Regions with 8 Viewpoints Parallax Barrier Method,"
    Proc. of The Seventh International Workshop on Image Media Quality and its Applications (IMQA2014),
    PS-9, pp. 102–105, Keyaki Hall, Nishi Chiba Campus, Chiba Univ., September 2-3, 2014.
  16. Norifumi Kawabata, and Yuukou Horita,
    “Statistical Analysis and Consideration of Subjective Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method,"
    Proc. of The Sixth International Workshop on Image Media Quality and its Applications (IMQA2013),
    T1-2, pp.23–32, Takanawa Campus, Tokai Univ., September 12-13, 2013.
  17. Norifumi Kawabata, Keiji Shibata, Yasuhiro Inazumi, and Yuukou Horita,
    “Image Quality Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method,"
    Proc. of The Fifth International Workshop on Image Media Quality and its Applications (IMQA2011),
    D-10, pp.88–90, Campus Plaza Kyoto, October 4-5, 2011.

Technical Reports

  1. Norifumi Kawabata and Masaru Miyao,
    “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,"
    IEICE Tech. Rep., Image Media Quality,
    vol. 116, no. 68, IMQ2016-1, pp. 1–6, Chiba Univ., May 2016.
  2. Norifumi Kawabata and Masaru Miyao,
    “3D CG Image Quality Metrics for the Contrast Enhancement of the Object Region Including S-CIELAB Color Space with 8 Viewpoints Parallax Barrier Method,"
    IEICE Tech. Rep., Image Media Quality,
    vol. 115, no. 48, IMQ2015-4, pp. 17–22, Univ. of Toyama, May 2015.

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