Fuzzy Image Restoration Of The Study

This paper mostly researches a kind in digital image processing: Restoration of Blurring Image. Image restoration is that it wipes off or lightens fall of image quality in the course of getting digital image, aims to deal with image of degradation and makes it to ideal image that has no degradation. Quotient-space and Genetic Algorithm are basic theory which can be use for reference at restoration of blurring image.Static uniform defocusing is a common kind of blurring in static state, this paper gives method of judging whether blurring image is uniform defocusing, the method compares picture of real gray with picture of ideal energy, it is clarity and intuitionist. Based on that, author applies a simple algorithm of restoration: counter-filter method, this algorithm is designed according to theory that the Fourier Transfer of two function's convolution is equal to multiply of two function's Fourier Transfer. At the same time, brings forward two evaluation-algorithms of judging definition of some restored image according to feature of count-filter, in order to get the best restored image.Uniform linear motion blurring is also a common kind of blurring in motion, because motion of changed speed and non-linear can be regarded as composed result of uniform linear motion. Author applies a high-speed algorithm of restoration: difference method, which complicated course of restoration is converted some simple part and each part is only added to sum. At last, discusses some evaluation-algorithms of judging restored image's definition, in order to get the best restored image.This paper validates correctness of algorithm and theory through specific restored image, looking into result of experiment, we can know effect is satisfactions,but it still has space to advance.