| Presentation | 2018-08-08 Super-Resolution Reconstruction Using Adaptive Nearest Neighbor Interpolation by Iterative Back-Projection Ryuya Ukai, Ryohei Mizutani, Yuki kawai, Teruki Uchida, Hideharu Toda, Tsuyoshi Otake, Masatoshi Sato, Hisashi Aomori, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The pixel density of display devices are improving, and the importance of the resolution as a criteria to determine the image quality has increased. In recent years, reconstruction-based super-resolution techniques that do not require a prior learning at the time of the super-resolution have been attracting attention. The iterative back-projection (IBP) is an efficient reconstruction-based super-resolution method, and in its algorithm, an interpolation filter is applied iteratively to enhance image definition. Although interpolation performance in the IBP method is very important, very few studies have focused on improving interpolation performance. In this paper, we propose a novel IBP method having directional interpolation to enhance super-resolution quality of the IBP method. Experimental results obtained by applying proposed method and the baseline IBP method to various test images support that image super-resolution performance of proposed method outperforms that of the baseline IBP method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Super-resolution / High resolution / Reconstruction / Iterative back-projection / Interpolation filter |
| Paper # | NLP2018-58 |
| Date of Issue | 2018-08-01 (NLP) |
| Conference Information | |
| Committee | NLP |
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| Conference Date | 2018/8/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Saiwai-cho Campus, Kagawa Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | etc. |
| Chair | Norikazu Takahashi(Okayama Univ.) |
| Vice Chair | Hiroaki Kurokawa(Tokyo Univ. of Tech.) |
| Secretary | Hiroaki Kurokawa(Hiroshima Inst. of Tech.) |
| Assistant | Masayuki Kimura(Kyoto Univ.) / Yutaka Shimada(Saitama Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Super-Resolution Reconstruction Using Adaptive Nearest Neighbor Interpolation by Iterative Back-Projection |
| Sub Title (in English) | |
| Keyword(1) | Super-resolution |
| Keyword(2) | High resolution |
| Keyword(3) | Reconstruction |
| Keyword(4) | Iterative back-projection |
| Keyword(5) | Interpolation filter |
| 1st Author's Name | Ryuya Ukai |
| 1st Author's Affiliation | Chukyo University(Chukyo Univ.) |
| 2nd Author's Name | Ryohei Mizutani |
| 2nd Author's Affiliation | Chukyo University(Chukyo Univ.) |
| 3rd Author's Name | Yuki kawai |
| 3rd Author's Affiliation | Chukyo University(Chukyo Univ.) |
| 4th Author's Name | Teruki Uchida |
| 4th Author's Affiliation | Chukyo University(Chukyo Univ.) |
| 5th Author's Name | Hideharu Toda |
| 5th Author's Affiliation | Chukyo University(Chukyo Univ.) |
| 6th Author's Name | Tsuyoshi Otake |
| 6th Author's Affiliation | Tamagawa University(Tamagawa Univ.) |
| 7th Author's Name | Masatoshi Sato |
| 7th Author's Affiliation | Tamagawa University(Tamagawa Univ.) |
| 8th Author's Name | Hisashi Aomori |
| 8th Author's Affiliation | Chukyo University(Chukyo Univ.) |
| Date | 2018-08-08 |
| Paper # | NLP2018-58 |
| Volume (vol) | vol.118 |
| Number (no) | NLP-174 |
| Page | pp.pp.31-34(NLP), |
| #Pages | 4 |
| Date of Issue | 2018-08-01 (NLP) |