| Presentation | 2012-03-01 Super-resolution using information-theoretic priori information of image histogram Shimpei TANEMORI, Hiroyuki KUDO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Image super-resolution techniques aim to reconstruct a high-resolution image from low-resolution ones. Conventional methods are essentially based on pixel spatial information, which are known to lose image sharp edges due to image smoothing. In this article, we propose a new method based on color image joint histogram. When the image histogram is sparse, the histogram entropy is small. This information-theoretic priori information is used to develop the new super-resolution algorithm. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | super-resolution / gray level histogram / joint histogram / joint entropy |
| Paper # | IT2011-57,ISEC2011-84,WBS2011-58 |
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| Conference Information | |
| Committee | WBS |
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| Conference Date | 2012/2/23(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Wideband System(WBS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Super-resolution using information-theoretic priori information of image histogram |
| Sub Title (in English) | |
| Keyword(1) | super-resolution |
| Keyword(2) | gray level histogram |
| Keyword(3) | joint histogram |
| Keyword(4) | joint entropy |
| 1st Author's Name | Shimpei TANEMORI |
| 1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba() |
| 2nd Author's Name | Hiroyuki KUDO |
| 2nd Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba |
| Date | 2012-03-01 |
| Paper # | IT2011-57,ISEC2011-84,WBS2011-58 |
| Volume (vol) | vol.111 |
| Number (no) | 456 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |