| Presentation | 2021-03-05 [Short Paper] Accurate underwater model based dataset and analysis Shunsuke Takao, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Although underwater images are important in many fields, image degradation such as color distortion or declined contrast caused bythe complex ocean environment is a serious problem. In order to remove strong noises in underwater images, learning based approaches like deep learning are a prominent solution, but making large dataset is a challenging task in underwater image, not as in land image. Artificial images are commonly used in stead of real images to satisfy sufficient data in underwater image processing, butprevious underwater image models are simplified and lacking reality. This research constructs large underwater dataset based on correct underwater image model, and implements analysis quantitatively, then prospect of image processing is talked. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | underwater dataset / MCMC / deep learning / underwater image enhancement |
| Paper # | PRMU2020-96 |
| Date of Issue | 2021-02-25 (PRMU) |
| Conference Information | |
| Committee | PRMU / IPSJ-CVIM |
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| Conference Date | 2021/3/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Computer Vision and Pattern Recognition for specific environment |
| Chair | Yoichi Sato(Univ. of Tokyo) |
| Vice Chair | Akisato Kimura(NTT) / Masakazu Iwamura(Osaka Pref. Univ.) |
| Secretary | Akisato Kimura(Mobility Technologies) / Masakazu Iwamura(Chubu Univ.) |
| Assistant | Takashi Shibata(NTT) / Masashi Nishiyama(Tottori Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] Accurate underwater model based dataset and analysis |
| Sub Title (in English) | |
| Keyword(1) | underwater dataset |
| Keyword(2) | MCMC |
| Keyword(3) | deep learning |
| Keyword(4) | underwater image enhancement |
| 1st Author's Name | Shunsuke Takao |
| 1st Author's Affiliation | Port and Airport Research Institute(PARI) |
| Date | 2021-03-05 |
| Paper # | PRMU2020-96 |
| Volume (vol) | vol.120 |
| Number (no) | PRMU-409 |
| Page | pp.pp.157-157(PRMU), |
| #Pages | 1 |
| Date of Issue | 2021-02-25 (PRMU) |