Identification of Piecewise Linear Uniform Motion Blur
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概要
- 論文の詳細を見る
A motion blur identification scheme is proposed for nonlinear uniform motion blurs approximated by piecewise linear models which consist of more than one linear motion component. The proposed scheme includes three modules that are a motion direction estimator, a motion length estimator and a motion combination selector. In order to identify the motion directions, the proposed scheme is based on a trial restoration by using directional forward ramp motion blurs along different directions and an analysis of directional information via frequency domain by using a Radon transform. Autocorrelation functions of image derivatives along several directions are employed for estimation of the motion lengths. A proper motion combination is identified by analyzing local autocorrelation functions of non-flat component of trial restored results. Experimental examples of simulated and real world blurred images are given to demonstrate a promising performance of the proposed scheme.
- （社）電子情報通信学会の論文
- 2008-06-01
著者
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NISHIHARA Akinori
Center for Research and Development of Educational Technology, Tokyo Institute of Technology
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Nishihara Akinori
Center For Research And Development Of Educational Technology Tokyo Institute Of Technology
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PATANUKHOM Karn
Department of Communications and Integrated Systems, Tokyo Institute of Technology
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Patanukhom Karn
Tokyo Inst. Of Technol. Tokyo Jpn
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Patanukhom Karn
Department Of Communications And Integrated Systems Tokyo Institute Of Technology
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