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  1. 紀要論文
  2. 琉球大学工学部紀要
  3. 61号
  1. 部局別インデックス
  2. 工学部

A Hybrid EA Approach to Multisensor Image Superresolution

http://hdl.handle.net/20.500.12000/1954
http://hdl.handle.net/20.500.12000/1954
41d47a02-dfba-4420-9fe3-0c27a0f32770
名前 / ファイル ライセンス アクション
No61p69.pdf No61p69.pdf
Item type デフォルトアイテムタイプ(フル)(1)
公開日 2007-09-16
タイトル
タイトル A Hybrid EA Approach to Multisensor Image Superresolution
言語 en
作成者 Mendoza, Noel

× Mendoza, Noel

en Mendoza, Noel

Chen, Yen-Wei

× Chen, Yen-Wei

en Chen, Yen-Wei

Nakao, Zensho

× Nakao, Zensho

en Nakao, Zensho

陳, 延偉

× 陳, 延偉

ja 陳, 延偉

仲尾, 善勝

× 仲尾, 善勝

ja 仲尾, 善勝

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
主題
言語 en
主題Scheme Other
主題 superresolution
言語 en
主題Scheme Other
主題 stochastic relaxation
言語 en
主題Scheme Other
主題 hybrid EA
言語 en
主題Scheme Other
主題 concurrent simplex
言語 en
主題Scheme Other
主題 image restoration
言語 en
主題Scheme Other
主題 interpolation kernels
内容記述
内容記述タイプ Other
内容記述 This paper considers the problem of reconstructing a high-resolution image from multiple under-sampled, shifted and noisy low-resolution frames. Using a hybrid evolutionary algorithm we attempt to reconstruct the original high-resolution image from a sequence of images corresponding to the same scene but shifted by unknown values in both scalar directions and degraded by Gaussian artifacts. The algorithm is easy to implement and can exploit subtle subpixel variations. It can obtain lossy, much more acceptable results than ordinary interpolation. This is exemplified by comparing results with those obtained through conventional interpolation.
内容記述タイプ Other
内容記述 紀要論文
出版者
言語 ja
出版者 琉球大学工学部
言語
言語 eng
資源タイプ
資源タイプ departmental bulletin paper
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
識別子
識別子 http://hdl.handle.net/20.500.12000/1954
識別子タイプ HDL
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 0389-102X
収録物識別子タイプ NCID
収録物識別子 AN0025048X
収録物名
言語 ja
収録物名 琉球大学工学部紀要
書誌情報
号 61, p. 69-77
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