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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Committee | ISEC |
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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 | Information Security (ISEC) |
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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) | 455 |
Page | pp.pp.- |
#Pages | 6 |
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