| Presentation | 2017-12-15 A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images Norifumi Kawabata, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | At present, in the engineering fields, the medical application for multi-view 3D images and 8K UHDTV images is advanced rapidly. Therefore, it is important for the studies on diagnostic imaging systems as the interdisciplinary research field enabled to approach from both medical and engineering. Up to now, the diagnostic imaging was carried out based on manual handling by professional doctors and health care workers. However, it is enable to diagnose images automatically by development of the computer systems. Therefore, it is required for approach from information science and engineering fields. For generating multi-view 3D images, if we are able to support whether workers are able to use correctly or not, and if the coded defect detection and restoration for their images are possible, we consider possibility towards medical applications in the near future. In this paper, first, we diagnosed automatically for multi-view 3D images in the case of occurring defect by encoded and decoded degradation at all or certain viewpoints by H.265/HEVC. Next, we assessed and estimated quantitatively in terms of the coded image quality in order to clarify how we are able to detect the coded defect. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Multi-view 3D Image / H.265/HEVC / Peak Signal to Noise Ratio (PSNR) / Diagnostic Imaging / Data Mining / Support Vector Machine (SVM) |
| Paper # | IMQ2017-21 |
| Date of Issue | 2017-12-08 (IMQ) |
| Conference Information | |
| Committee | IMQ |
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| Conference Date | 2017/12/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Shizuoka University, Hamamatsu Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Picture Display, etc. |
| Chair | Kenji Sugiyama(Seikei Univ.) |
| Vice Chair | Toshiya Nakaguchi(Chiba Univ.) / Mitsuru Maeda(Canon) |
| Secretary | Toshiya Nakaguchi(Nagoya Univ.) / Mitsuru Maeda(Sony) |
| Assistant | Masaru Tsuchida(NTT) / Gosuke Ohashi(Shizuoka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Image Media Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images |
| Sub Title (in English) | |
| Keyword(1) | Multi-view 3D Image |
| Keyword(2) | H.265/HEVC |
| Keyword(3) | Peak Signal to Noise Ratio (PSNR) |
| Keyword(4) | Diagnostic Imaging |
| Keyword(5) | Data Mining |
| Keyword(6) | Support Vector Machine (SVM) |
| 1st Author's Name | Norifumi Kawabata |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2017-12-15 |
| Paper # | IMQ2017-21 |
| Volume (vol) | vol.117 |
| Number (no) | IMQ-356 |
| Page | pp.pp.7-12(IMQ), |
| #Pages | 6 |
| Date of Issue | 2017-12-08 (IMQ) |