A PSF Estimation Based on Hough Transform Concerning Gradient Vector for Noisy and Motion Blurred Images(<Special Section>Advanced Image Technology)
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概要
- 論文の詳細を見る
The estimation of the point-spread function (PSF) is one of very important and indispensable tasks for the practical image restoration. Especially, for the motion blur, various PSF estimation algorithms have been developed so far. However, a majority of them becomes useless in the low blurred signal-to-noise ratio (BSNR) environment. This paper describes a new robust PSF estimation algorithm based on Hough transform concerning gradient vectors, which can accurately and robustly estimate the motion blur PSF even in low BSNR case. The effectiveness and validity of the proposed algorithm are verified by applying it to the PSF estimation and the image restoration for noisy and motion blurred images.
- 社団法人電子情報通信学会の論文
- 2007-01-01
著者
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UCHINO Eiji
Graduate School of Science and Engineering, Yamaguchi University
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Uchino Eiji
Division Of Natural Science And Symbiosis Graduate School Of Science And Engineering Yamaguchi Unive
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Uchino Eiji
Graduate School Of Science And Engineering Yamaguchi University
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Suetake Noriaki
Academic Domain Of Natural Science Graduate School Of Science And Engineering Yamaguchi University
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Suetake Noriaki
Graduate School Of Science And Engineering Yamaguchi University
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Suetake Noriaki
Department Of Physics Biology And Informatics Faculty Of Science Yamaguchi University
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SAKANO Morihiko
Graduate School of Science and Engineering, Yamaguchi University
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Sakano Morihiko
Division Of Natural Science And Symbiosis Graduate School Of Science And Engineering Yamaguchi Unive
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