Presentation | 2015-03-06 High Speed Sparse-coding Superresolution by Multiple Degenerated Basis Dictionaries Naoki MOTOHASHI, Satoshi NAKAMURA, Toshihiro SUZUKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Single-frame Superresolution (Single-frame SR) is a technique for improving the quality of low resolution images, which restores lost fine details (e.g., textures) by adding high frequency components extracted from other images. In the field of Single-frame SR, Example-based Superresolution (Example-based SR) has been actively studied for many years because of its high restoration capability. Recently Example-based SR using sparse coding (ScSR) gets increasingly popular because it can restore the lost fine details accurately while the processing time is significantly reduced compared to the ordinary Example-based SR. However, due to its high computational complexity, it is still required to accelerate the algorithm. To this end, we propose a new technique to accelerate ScSR algorithm by splitting the dictionary used in ScSR to multiple sub-dictionaries to reduce the number of matchings between input patches, i.e., small blocks extracted from an input low resolution image, and bases in the dictionary. Experimental results show that the proposed technique can reduce the processing time by more than 50% without compensating the restoration accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | example-based Superresolution / sparse-coding / basis dictionaries |
Paper # | SIS2014-106 |
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Committee | SIS |
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Conference Date | 2015/2/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | High Speed Sparse-coding Superresolution by Multiple Degenerated Basis Dictionaries |
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Keyword(1) | example-based Superresolution |
Keyword(2) | sparse-coding |
Keyword(3) | basis dictionaries |
1st Author's Name | Naoki MOTOHASHI |
1st Author's Affiliation | Ricoh Institute of Technology Ricoh Company, LTD.() |
2nd Author's Name | Satoshi NAKAMURA |
2nd Author's Affiliation | Ricoh Institute of Technology Ricoh Company, LTD. |
3rd Author's Name | Toshihiro SUZUKI |
3rd Author's Affiliation | Ricoh Institute of Technology Ricoh Company, LTD. |
Date | 2015-03-06 |
Paper # | SIS2014-106 |
Volume (vol) | vol.114 |
Number (no) | 496 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |