| Presentation | 2019-09-19 Super Resolution for 8K Endoscopic Images Based on Deep Learning Ayumu Wada, Seiichi Gohshi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Endoscopic operation is performed by inserting a camera through 1 cm holes into the body, and it has a smaller incision and less burden on the patients than open surgeries. 2K/4K endoscope cameras are used in the medical field, and 8K endoscopes have recently been developed to obtain high resolution videos. 8K endoscopes can clearly shoot the condition of the organ surfaces. However, in putting 8K endoscopes into practical use, focusing became a new problem. Although the focus of the 8K endoscopes must be adjusted by a specialist, it is difficult to continue shooting clearly the organ surfaces since manual focusing is not easy. This paper proposes a signal processing method using deep learning to visualize 8K endoscopic videos with insufficient the focus. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | 8K / Endoscopic Videos / Deep Learning |
| Paper # | LOIS2019-8,IE2019-21,EMM2019-65 |
| Date of Issue | 2019-09-12 (LOIS, IE, EMM) |
| Conference Information | |
| Committee | IE / EMM / LOIS / IEE-CMN / ITE-ME / IPSJ-AVM |
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| Conference Date | 2019/9/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokimeito, Niigata University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hideaki Kimata(NTT) / Masaki Kawamura(Yamaguchi Univ.) / Tomohiro Yamada(NEL) / Shun Morimura(CRIEPI) / 田川 憲男(首都大東京) / Sei Naito(KDDI Research, Inc.) |
| Vice Chair | Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Motoi Iwata(Osaka Prefecture Univ.) / Tetsuya Kojima(NIT,Tokyo College) / Toru Kobayashi(Nagasaki Univ.) / Kouji Hirata(Kansai Univ) / 新井 啓之(日本工大) |
| Secretary | Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Motoi Iwata(NIT, Nagano College) / Tetsuya Kojima(Nagase) / Toru Kobayashi(Research Organization of Information and Systems) / Kouji Hirata(NTT) / 新井 啓之(Tokai Univ.) / (Doushisya Univ) |
| Assistant | Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Masaki Inamura(Tokyo Denki Univ.) / Kazuhiro Kono(Kansai Univ.) / Kenichi Arai(Nagasaki Univ.) / Yuuichi Shinohara(TEPCO Power Grid) / Akihiro Tanaka(CRIEPI) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Enriched MultiMedia / Technical Committee on Life Intelligence and Office Information Systems / Technical Meeting on Communications / Technical Group on Media Engineering / Special Interest Group on Audio Visual and Multimedia Information Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Super Resolution for 8K Endoscopic Images Based on Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | 8K |
| Keyword(2) | Endoscopic Videos |
| Keyword(3) | Deep Learning |
| 1st Author's Name | Ayumu Wada |
| 1st Author's Affiliation | Kogakuin University(Kogakuin Univ) |
| 2nd Author's Name | Seiichi Gohshi |
| 2nd Author's Affiliation | Kogakuin University(Kogakuin Univ) |
| Date | 2019-09-19 |
| Paper # | LOIS2019-8,IE2019-21,EMM2019-65 |
| Volume (vol) | vol.119 |
| Number (no) | LOIS-205,IE-206,EMM-207 |
| Page | pp.pp.7-12(LOIS), pp.7-12(IE), pp.7-12(EMM), |
| #Pages | 6 |
| Date of Issue | 2019-09-12 (LOIS, IE, EMM) |