Image Restoration Algorithm Based on Fusion with Fuzzy Similarity

Traditionally image restoration technology is mainly focused on restoring the image with single method.Image fusion technology is applied on multi-focused images fusion and multi-source images fusion.Inspired by fusion strategy,some restored images are fused into one image based on fuzzy similarity.So an image restoration algorithm based on fusion with fuzzy similarity is proposed.First,compute the fuzzy similarity based on region character(gradient,variation and mean),then some restored images which have certain similarity are weighted based on pixel,and some another images having not similarity are obey "maximum value selection" principle and the final fusion image are determined.Experimental results show that the improved signal noise ratio(ISNR) of fusion image is 0.1¹ dB better than before.At the same time,the results are better than traditional method.