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《Journal of Southwest University(Natural Science Edition)》 2013-07
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A Modified Iterative Blind Image Restoration Algorithm

MA Yao-feng,LI Hong-li School of Information Engineering,Zhongzhou University,Zhengzhou 450004,China  
An improved method is presented to overcome the drawbacks of the original NAS-RIF algorithm,i.e.noise sensitivity and a rectangular support region.To deal with the noise sensitivity of NAS-RIF,higher order statistics denoising is introduced.Self-estimation on image support based on image segmentation is used to change the rectangular support limitation.At last,simulation is done to various PSNR images and backgrounds.The simulation results show that the improved algorithm solves the existing problems of the original algorithm,and observably improves the quality of recovery image.
【Fund】: 河南省教育厅自然科学基金资助项目(2010C520020)
【CateGory Index】: TP391.41
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