JIP_V1_N2_RP5 M. Sahithya I. Suneetha N. Pushpalatha Journal on Image Processing 2349-6827 1 2 30 35 Deblurring, Residual Image, Regularization Parameter ,Artifacts, Signal to Noise Ratio (SNR) Image blur is a very difficult problem. Now a days, deblurring plays a vital role in digital image processing. Image deblurring has infinite solutions which are unstable because it is used to make the picture sharp and useful. So, to find the best solution for adjusting the regularization parameter, the number of iterations of the algorithm are used to address the optimization problem. This method well estimates the recovered image, but the residual image is a poorly deblurred image and it exhibits structured artifacts that are not spectrally white. Now in the proposed criterion, the same procedure mentioned above is repeated and the regularization parameter is chosen and the algorithm is decided to stop at the best Signal to Noise Ratio (SNR). Tests will be performed on monochrome and color images with various synthetic and real life degradations to get better results. April - June 2014 Copyright © 2014 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2828