Image Restoration Based on Deconvolution by Richardson Lucy Algorithm

This article presents the performance analysis of different basic techniques used for the image restoration. Restoration is a process by which an image suffering from degradation can be recovered to its original form. Removing blur and noise from image is very difficult problem to solve. We have implemented the three different techniques of image restoration and tested our implementation for the blurred image in the standard environment. We have obtained the blurred image with the standard blurring functions and the noise. The degraded images have been restored by the use of Wiener deconvolution, Inverse deconvolution and Richardson–Lucy algorithm. Further we have compared the different results on the basis of PSNR and MSE values of the restored image. Finally the conclusion is formulated. Keywords— Inverse filter, Wiener filter, LucyRichardson, MSE (mean square error), PSNR (peak signal to noise ratio).