An Image Denoising Method which Combines Adaptive Median Filter with Weighting Mean Filter

摘要：

Denoising processing is a necessary pretreatment for polluted images before character abstraction, image recognition and image comprehension. In this paper, a new method which combines adaptive median filter with improved weighting mean filter, is presented. The new method has the two filter techniques advantages. In condition of preserving the image edge as much as possible, the new method can not only get rid of salt&pepper noise with different density effectively, but also restrain Gauss noise well. The simulation results validate the effectiveness of the new algorithm.

关键词： demising median filter improved weighting mean filter salt&pepper noise Guass noise

作者: Huadong Sun Lizhi Zhang Xuesong Jin

作者单位: School of Computer and Information Engineering Harbin University of Commerce Harbin, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 392-396

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）