期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：8
页码：117-126
DOI：10.14257/ijsip.2015.8.8.13
出版社：SERSC
摘要：For movement target, image recognition with blur is a difficult problem to solve in image acquisition system. The paper proposes an image restoration algorithm based on inverse filtering and wiener filtering. According to original image of movement target by acquisition system, it analyses frequency spectrum characteristic, builds restoration model for image degradation, researches inverse filtering and wiener filtering technologies of image preprocessing algorithm and image restoration algorithm. Further it explains image quality assessment method, discusses objective assessment method without reference in detail. Dealing with the movement target image of actual acquisition, some images are processed based on the restoration method which proved. By contrasting algorithm with result, the restoration method is valid to eliminate blur and noise of disturbing influence from target moving, which proposed combining with inverse filtering and wiener filtering. The result shows that the edge characteristic is obvious and propitious to reflect original target actually
关键词：image restoration; blurring; inverse filtering; wiener filtering
