期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：7
页码：13487-13491
出版社：IJECS
摘要：Image restoration is the process of reconstruction or recovering an image that has been corrupted by somedegradation phenomenon. Degradation may occur due to motion blur, Gaussian blur, noise and cameramismatch. In this paper corrupted image have been recovered using Modified Lucy Richardson algorithm inthe presence of Gaussian blur and motion blur. The performance of this algorithm has been compared withWiener filter, Blind deconvolution and Lucy Richardson algorithm. The performance comparison done onthe based on peak signal-to-noise ratio (PSNR), Mean Square Error (MSE) and Structural Similarity Indexfor Measuring Image (SSIM).The result shows that Blind deconvolution Method is better than Wiener filterand Lucy Richardson algorithm
关键词：MSE (Mean Square Error); Peak Signal to noise;Ratio (PSNR); Structural Similarity Index for;Measuring Image (SSIM); MCE (Maximum Like;hood Estimation); PSF (Point Spread Function)
