The Algorithm Research Of Image Denoise Based On Grey Systerm

In the digital image process field, for getting high quality digital image, image denoise is always the most important and basic research problem. Abstract of speaking, image denoise can be see the process of seeking inverse matrix to a bad quality image .But speak from processing method, it can be see the process of basing neighbors or dots.The Gauss noise, the pulse noise, and mixture of two is the typical noise model .Although there are a lot of tradition denoise method, there are a lot of shortage, such as can not keep balance between image denoise and keep detail of picture.his paper, at first, introduce the purposes, meanings, and some improvements in domesic and overseas.In chapter 2, some related denoise theories is summeried. And the character and judging standard of noise is introduced. In chapter 3, we discuss the mean filter and median filter. And a new mean-median mixture filter is putted forward. It use of two stage filter, the experiment result display that it can denoise well and keep more details. In chapter 4, base of summary of grey correlation and grey GM(1,1), two new denoise methods based grey correlation and grey GM(1,1) are proposed. In this paper, through a lot of experiment data and compare analysis, the method presented in this article can denoise and keep detail well. In chapter 5, based on the genetic algorithm, grey genetic algorithm is introduced, and discuss the application in the denoise of image. At last, the method of this paper is summarised and the next research direction is presented.