An Adaptive Filtering Algorithm for Salt and Pepper Noise Based on Local Statistic Information
In order to filter out the salt and pepper noise in digital images,an adaptive algorithm is proposed based on switching filter.The algorithm includes three steps:noise detection,noise filter and error detection pixel correction.Firstly,noise was detected by the improved neighborhood of extreme value method,and noise marking matrix was established.Then,the noise was filtered out by gradient filter in the light polluted areas,by median filter in the moderately polluted areas,and by weighted mean filter in heavily polluted areas.Finally,the filter image was compared with noise image to correct mistaken filtered signal point.The results show the method has good adaptation in filtering variant degrees of noise polluted images.The filter image is better than the traditional median filter and some improved algorithm in terms of visual effects,or the effects of data recovery.
salt and pepper noise median filter noise detection adaptive
Hongwei Guo Chao Li Feijiang Huang
Engineering College Honghe University Mengzi 661100,China Information School Yunnan University Kunming 650031,China Department of Electronics and Communication Engineering Changsha University Changsha 410003,China
国际会议
太原
英文
495-498
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）