Algorithm Design of Fuzzy Filter Based on Salt-and-Pepper Noise with High Probability in Image Restoration
Wang Gui-ju · Dianzi xuebao · 2015
Severe pollution of salt-and-pepper noise w ith high probability in digital images is w idespread,such as to eliminate less information and noisy noise has many difficulties. Although light pollution of salt-and-pepper noise w ith low probability in digital images can be completely removed,it lacks of universal sense in actual image restoration. In this paper,aimed at the fuzzy partition in the gray-value spaces and fuzzy numbers describing the gray-value level,the extreme value method is used to conduct the noise w ith the high probability test and establish the suitable filtering w indow. And then,applying the defuzzification method of center of generalized gravity and the membership functions corresponding to the nonnoise points to design a kind of new filter. Finally,w e obtain that the filter can effectively filter the salt and pepper noise w ith high probability in digital images by simulation example,and its denoising performance is superior to other common filters.