The Study, Based On Genetic Algorithm Based Fuzzy Image Restoration Method

Image Restoration is an important branch in the digital image processing, It also is a difficulty .Its major purpose is improving the image quality, using certain prior knowledge of image degeneration to rebuild or restore the original image. Genetic Algorithm is an overall situation optimize search algorithm which is based on Darwin biology evolutionism. It can carry on quick calculation on complicated no-linear multidimensional space. Especially because genetic algorithm is not restrict to search space ,robust and parallel , at present it has shown predominant capability on image processing. This project mainly analyze the basic capability of traditional image restoration, Aiming at too many restrictions and complex computation in conventional image restoration methods, proposed an improved genetic algorithm, converse the gray image restoration problem to genetic algorithm optimize problem, improve the quality of restored image, the result shows the feasibility of this algorithm.