Presentation | 2007-09-28 Shift-invariant Sparse Representations of Texture Images Makoto NAKASHIZUKA, HIDENARI Nishiura, Yoji IIGUNI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents a shift-invariant sparse image representation for extraction of micro structures of image textures. Our image representation is based on a sparse coding which is a generative model of images and can extract salient features of images. We introduce a shift-invariant non-negative sparse representation for extraction of texture elements of images. In this paper, we employ a block coordinate relaxation algorithm which is an efficient algorithm of basis pursuit denoising for updating of weights of the shifted texture elements. We demonstrate the extraction of texture elements from images and texture image separation and interpolation via the proposed representation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Texture image / sparse signal representation / sparse coding / unsupervised learning |
Paper # | SIP2007-101,SIS2007-37,SP2007-63 |
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Committee | SIS |
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Conference Date | 2007/9/21(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) | Shift-invariant Sparse Representations of Texture Images |
Sub Title (in English) | |
Keyword(1) | Texture image |
Keyword(2) | sparse signal representation |
Keyword(3) | sparse coding |
Keyword(4) | unsupervised learning |
1st Author's Name | Makoto NAKASHIZUKA |
1st Author's Affiliation | Graduate School of Engineering Science, Osaka University() |
2nd Author's Name | HIDENARI Nishiura |
2nd Author's Affiliation | Graduate School of Engineering Science, Osaka University |
3rd Author's Name | Yoji IIGUNI |
3rd Author's Affiliation | Graduate School of Engineering Science, Osaka University |
Date | 2007-09-28 |
Paper # | SIP2007-101,SIS2007-37,SP2007-63 |
Volume (vol) | vol.107 |
Number (no) | 237 |
Page | pp.pp.- |
#Pages | 6 |
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