Multifocus image restoration and fusion method based on genetic search strategies

An adaptive genetic search algorithm was developed which applied to fused image blocks for clear restoration of two spatially registered multifocus images from same scene. In this method, the size of image block is defined as chromosome, after crossover and mutation, the global optimal solution would be got. Three kinds of quantitative evaluation criteria are used on the analysis and effect evaluation of different fused images, such as root mean square error, entropy and mutual information. Two cases are discussed and experiments demonstrate that in one case most fused images can achieve perfect reconstruction to the reference image when the focus objects are not overlapped blurred, and in another case this method performs better when the focus objects are overlapped blurred than that of the other two methods.