Achievement

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Awards

  1. “The international society for optics and photonics, SPIE Journal of Electronic Imaging, Certificate of Appreciation,"
    for serving as a reviewer for Journal of Electronic Imaging during the calendar year of 2018,
    February 6, 2019.
    Photo

  2. “Elsevier Signal Processing Certificate of Outstanding Contribution in Reviewing,"
    in recognition of the contributions made to the quality of the journal,
    April 2018.
    Photo

  3. “The international society for optics and photonics, SPIE Journal of Electronic Imaging, Certificate of Appreciation,"
    for serving as a reviewer for Journal of Electronic Imaging during the calendar year of 2017,
    February 17, 2018.
    Photo

  4. “The 15th Forum on Information Technology FIT Encouragement Award 2016,"
    “Award with regard to The Comparison for 3D CG Image Quality Assessment between Multi-view 3D and 5K Images Including S-CIELAB Color Space,"
    in Gofuku Campus, University of Toyama, September 7, 2016 (Presentation), September 9, 2016 (Award).
    Link　Photo

  5. “IEICE Tokai Section Student Award 2014,"
    “Award with regard to A Study of the 3D CG Image Quality Metrics with 8 Viewpoints Parallax Barrier Method,"
    in Castle Plaza, Nagoya, June 3, 2015.
    Link1　Photo1　Link2　Photo2

Journal Papers / Conference Proceedings (Submitted)

Full Paper

  1. Norifumi Kawabata,
    submitted (in Japanese, 1st Submission on May 21, 2020).

  2. Norifumi Kawabata,
    submitted (in Japanese, 1st Submission on May 21, 2020).

Short Paper

  1. Norifumi Kawabata,
    submitted (1st Submission on May 25, 2020).
  2. Norifumi Kawabata,
    submitted (1st Submission on July 1, 2020).

Journal Papers / Conference Proceedings (Conditional Acceptance)

Full Paper

  1. Norifumi Kawabata,
    submitted (Final revision, 1st Submission on May 16, 2020).

  2. Norifumi Kawabata,
    Conditional Acceptance (2nd revision).

Journal Papers (Peer-reviewed)

Full Paper

International Conference Papers, Proceedings (Peer-reviewed)

  1. Norifumi Kawabata and Toshiya Nakaguchi,
    “Color Laparoscopic Image Region Segmentation after Contrast Enhancement Including SRCNN by Image Regions,"
    Proc. of The International Forum on Medical Imaging in Asia (IFMIA2021),
    Online conference (Accepted)

  2. 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.
    Program　PDF (Paper, Poster)

  3. 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.
    Program　PDF (Paper, Poster)

  4. 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.
    Program　PDF (Paper, Presentation)

  5. 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.
    Program　PDF (Paper (IEEExplore), Poster)

  6. 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.
    Program　PDF (Paper, Poster)

  7. 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).
    Program　PDF (Paper (IEEExplore), Presentation)

  8. 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.
    Program　PDF (Paper, Presentation)

  9. 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).
    Program (all)　Program (our session)　PDF (Paper, Presentation)

  10. 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.
    Program　PDF (Paper, Presentation)

  11. 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.
    Program　J-GLOBAL　PDF (Paper, Presentation)

  12. 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.
    Program　PDF (Paper, Poster)

  13. 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.
    Program　PDF (Paper, Presentation)

  14. 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.
    Program　PDF (Paper, Poster)

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.
    Ken-System　CiNii　J-GLOBAL

  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.
    ken-System　CiNii　J-GLOBAL

Thesis, Dissertation

Doctor Dissertation

  1. Norifumi Kawabata,
    “A Study of the Multi-view 3D CG Image Quality Assessment Including the Image Characteristics,"
    Department of Information Engineering, Graduate School of Information Science, Nagoya University, January 2017.