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  1. 060 工学部
  2. 10 学術雑誌論文
  3. 10 査読済論文
  1. 0 資料タイプ別
  2. 01 学術雑誌論文

Image Restoration with Multiple DirLOTs

http://hdl.handle.net/10191/30660
http://hdl.handle.net/10191/30660
1f006a86-f4ed-4d51-9390-1a99b327733b
名前 / ファイル ライセンス アクション
E96-A_10_1954-1961.pdf E96-A_10_1954-1961.pdf (2.6 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2014-12-02
タイトル
タイトル Image Restoration with Multiple DirLOTs
タイトル
タイトル Image Restoration with Multiple DirLOTs
言語 en
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

WEKO 5865

Aizawa, Natsuki

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Muramatsu, Shogo

× Muramatsu, Shogo

WEKO 5866

Muramatsu, Shogo

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Yukawa, Masahiro

× Yukawa, Masahiro

WEKO 5867

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
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/
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Cite as

Aizawa, Natsuki, Muramatsu, Shogo, Yukawa, Masahiro, 2013, Image Restoration with Multiple DirLOTs: The Institute of Electronics, Information and Communication Engineers, 1954–1961 p.

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