关键词: 图像处理, 中值滤波, 投票, 分组投票, 投反票

Abstract: Based on the similarity of neighborhood pixels, algorithm of grouping vote for median value is proposed in this paper. It avoids a lot of zero ballot-boxes into the statistical process and improves the rate of inspecting ballot-slips. It also proposes vote against idea. Using the correlation of windows mobile, it makes pixel number greatly reduced in every voting, and avoids the cleaning operation for ballot-boxes before vote. The voting is optimized, the voting rate is increased. Eliminating the existing high-speed median filter algorithm is not suitable for small window defect. It uses less summation and comparison operators. To make all kinds of window median filtering rate is greatly improved. It will get local parameters （the local extremes, the number of local extremes, and the local average） of the image quickly. These parameters are used as the basis for noise detection, can accurately determine noise and enhance the effect of the median filter.

Key words: image processing, median filtering, vote, grouping vote, vote against