Restoration of shift variant blurred image estimating the parameter distribution of point‐spread function
作者:
Shoichi Hashimoto,
Hideo Saito,
期刊:
Systems and Computers in Japan
(WILEY Available online 1995)
卷期:
Volume 26,
issue 1
页码: 62-72
ISSN:0882-1666
年代: 1995
DOI:10.1002/scj.4690260106
出版商: Wiley Subscription Services, Inc., A Wiley Company
关键词: Image restoration;Blurred image;Shift variance;Blind deconvolution;Wiener filter
数据来源: WILEY
摘要:
AbstractThis paper describes a method of restoring a position‐dependent (shift variant) blurred image by estimating the size of the blurred part and by adjusting the restoration proportionally to it. In this method, it is assumed that all blurred images are due to a defocussing of a lens system or accidental camera motion. If the point‐spread function (PSF) of the blurred point is known, the estimation of the PSF can be replaced by the estimation of its parameter distribution (consisting of the diameter of a defocussed circle and the width of the motion caused by the accidental camera motions). Then a blind deconvolution of a shift‐variant blurred image can be realized by locally applying a Wiener filter to the estimated distribution. The method was tested using computer simulated images and actual images taken by a CCD camera, both with blurred parts. The results confirm the effectiveness of the m
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