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Image Restoration with Multiple DirLOTs
http://hdl.handle.net/10191/30660
http://hdl.handle.net/10191/306601f006a86-f4ed-4d51-9390-1a99b327733b
名前 / ファイル | ライセンス | アクション |
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E96-A_10_1954-1961.pdf (2.6 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2014-12-02 | |||||
タイトル | ||||||
タイトル | Image Restoration with Multiple DirLOTs | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Image Restoration with Multiple DirLOTs | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | DirLOT | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | deblurring | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | super-resolution | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | inpainting | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | iterative-shrinkage/thresholding algorithm (ISTA) | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | multi-directional dictionary | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Aizawa, Natsuki
× Aizawa, Natsuki× Muramatsu, Shogo× Yukawa, Masahiro |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | A directional lapped orthogonal transform (DirLOT) is an orthonormal transform of which basis is allowed to be anisotropic with the symmetric, real-valued and compact-support property. Due to its directional property, DirLOT is superior to the existing separable transforms such as DCT and DWT in expressing diagonal edges and textures. The goal of this paper is to enhance the ability of DirLOT further. To achieve this goal, we propose a novel image restoration technique using multiple DirLOTs. This paper generalizes an image denoising technique in [1], and expands the application of multiple DirLOTs by introducing linear degradation operator P. The idea is to use multiple DirLOTs to construct a redundant dictionary. More precisely, the redundant dictionary is constructed as a union of symmetric orthonormal discrete wavelet transforms generated by DirLOTs. To select atoms fitting a target image from the dictionary, we formulate an image restoration problem as an l1-regularized least square problem, which can efficiently be solved by the iterative-shrinkage/thresholding algorithm (ISTA). The proposed technique is beneficial in expressing multiple directions of edges/textures. Simulation results show that the proposed technique significantly outperforms the non-subsampled Haar wavelet transform for deblurring, super-resolution, and inpainting. | |||||
書誌情報 |
IEICE transactions on fundamentals of electronics, communications and computer sciences en : IEICE transactions on fundamentals of electronics, communications and computer sciences 巻 E96-A, 号 10, p. 1954-1961, 発行日 2013-10 |
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出版者 | ||||||
出版者 | The Institute of Electronics, Information and Communication Engineers | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 09168508 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA10826239 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1587/transfun.E96.A.1954 | |||||
権利 | ||||||
権利情報 | Copyright(C)2013 IEICE | |||||
著者版フラグ | ||||||
値 | publisher | |||||
異版である | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | URI | |||||
関連識別子 | http://www.ieice.org/jpn/trans_online/ |