关键词: 图像去噪, 贝叶斯决策, 均值滤波, 直方图

Abstract: Noise reduction is one of the most important parts of image processing.This paper analyzes the histogram of noise polluted images and presents a novel denoising algorithm based on the minimum error Bayes decision and the theory of meaning filtering.First the histogram of noise polluted images is counted and difference parameters are estimated.Then whether it is a noise or not to each pixel point in the image is decided.And the noise using meaning filtering is processed.The experiment results show that the algorithm presented in this paper is feasible and good.

Key words: image denoising, Bayes decision, meaning filtering, histogram