Blind super-resolution based on simultaneous registration and reconstruction (信号処理)
スポンサーリンク
概要
- 論文の詳細を見る
Super-resolution is an approach to obtain high-resolution (HR) image(s) from a set of low-resolution images. HR image reconstruction can be broken up into three sub-problems: registration, blur identification, and reconstruction. We propose to simultaneously perform registration and reconstruction steps while estimating the blurring operators. Three cases of the proposed approach are examined. First, perform simultaneous registration and reconstruction with known blurring operators. Second, estimate blurring operators with known HR image. In this case, we used the initially interpolated image as HR image and estimate motion operator simultaneously. Finally, perform simultaneous registration, blur identification, and reconstruction.
- 社団法人電子情報通信学会の論文
- 2008-02-28
著者
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TANAKA TOSHIHISA
Department of Clinical Neuroscience & Psychiatry, Osaka University Graduate School of Medicine
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Omer Osama
Department Of Electrical And Electronic Engineering Tokyo University Of Agriculture And Technology
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