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  1. B200 工学部/工学研究科
  2. B200a 雑誌掲載論文
  3. 学術雑誌

An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions

http://hdl.handle.net/2237/14995
http://hdl.handle.net/2237/14995
2a05a7af-ed7a-4f63-a72f-b8d9a108a692
名前 / ファイル ライセンス アクション
458.pdf 458.pdf (2.1 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2011-06-30
タイトル
タイトル An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions
言語 en
著者 HASEGAWA, Hiroshi

× HASEGAWA, Hiroshi

WEKO 41234

en HASEGAWA, Hiroshi

Search repository
OHTSUKA, Toshinori

× OHTSUKA, Toshinori

WEKO 41235

en OHTSUKA, Toshinori

Search repository
YAMADA, Isao

× YAMADA, Isao

WEKO 41236

en YAMADA, Isao

Search repository
SAKANIWA, Kohichi

× SAKANIWA, Kohichi

WEKO 41237

en SAKANIWA, Kohichi

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 Copyright (C) 2008 IEICE
キーワード
主題Scheme Other
主題 super-resolution
キーワード
主題Scheme Other
主題 Huber function
キーワード
主題Scheme Other
主題 total variation
キーワード
主題Scheme Other
主題 set-theoretic approach
キーワード
主題Scheme Other
主題 outer approximation
キーワード
主題Scheme Other
主題 hybrid steepest descent method
抄録
内容記述 In this paper, we propose a method that recovers a smooth high-resolution image from several blurred and roughly quantized low-resolution images. For compensation of the quantization effect we introduce measurements of smoothness, Huber function that is originally used for suppression of block noises in a JPEG compressed image [Schultz & Stevenson '94] and a smoothed version of total variation. With a simple operator that approximates the convex projection onto constraint set defined for each quantized image [Hasegawa et al. '05], we propose a method that minimizes these cost functions, which are smooth convex functions, over the intersection of all constraint sets, i.e. the set of all images satisfying all quantization constraints simultaneously, by using hybrid steepest descent method [Yamada & Ogura '04]. Finally in the numerical example we compare images derived by the proposed method, Projections Onto Convex Sets (POCS) based conventinal method, and generalized proposed method minimizing energy of output of Laplacian.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 Institute of Electronics, Information and Communication Engineers
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
関連情報
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/index.html
ISSN
収録物識別子タイプ PISSN
収録物識別子 0916-8508
書誌情報 en : IEICE transactions on fundamentals of electronics, communications and computer sciences

巻 E91-A, 号 2, p. 673-681, 発行日 2008-02-01
著者版フラグ
値 publisher
URI
識別子 http://www.ieice.org/jpn/trans_online/index.html
識別子タイプ URI
URI
識別子 http://hdl.handle.net/2237/14995
識別子タイプ HDL
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