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  1. B200 工学部/工学研究科
  2. B200e 会議資料
  3. 国際会議

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

http://hdl.handle.net/2237/12045
http://hdl.handle.net/2237/12045
b7286348-4997-4eb7-b597-6223b7ebffe5
名前 / ファイル ライセンス アクション
An_Edge-Preserving_Super-Precision.pdf An_Edge-Preserving_Super-Precision.pdf (685.1 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2009-08-19
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 30967

en Hasegawa, Hiroshi

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Ohtsuka, Toshinori

× Ohtsuka, Toshinori

WEKO 30968

en Ohtsuka, Toshinori

Search repository
Yamada, Isao

× Yamada, Isao

WEKO 30969

en Yamada, Isao

Search repository
Sakaniwa, Kohichi

× Sakaniwa, Kohichi

WEKO 30970

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 © 2006 IEEE. Reprinted from IEEE 8th Workshop on Multimedia Signal Processing, 2006. p.334-337. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
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 a measurement of smoothness originally used for suppression of block noises in a JPEG compressed image [Schultz & Stevenson '94]. With a simple operator that approximates to 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, POCS based conventional method, and generalized proposed method minimizing smoothed total variation and 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 IEEE
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 AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/MMSP.2006.285325
書誌情報 en : IEEE 8th Workshop on Multimedia Signal Processing, 2006

p. 334-337, 発行日 2006-10
フォーマット
application/pdf
著者版フラグ
値 author
URI
識別子 http://dx.doi.org/10.1109/MMSP.2006.285325
識別子タイプ DOI
URI
識別子 http://hdl.handle.net/2237/12045
識別子タイプ HDL
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