期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：8
页码：3787
出版社：S&S Publications
摘要：The goal of image deblurring is to restore an image within a given area, from a blurred specimen. It is wellknow that the convolution operator integrates not only the image in the field of view of the given specimen, but also thepart of the scenery in the area bordering it. The given results demonstrate the importance of accurate phase recovery,where even a relatively small phase error can have a dramatic effect on the quality of image deconvolution. Under suchconditions, the proposed method produces image reconstructions of a superior quality, as compared with the case ofClassical Compressed Sensing . Moreover, comparing the results one can see that DS only slightly outperformsDerivative Compressed Sensing in terms of Peak Signal to Noise Ratio and Image estimate obtained with the CCSbasedmethod for phase recovery Structural Similarity Index Measurment .
