An Improved Median Filtering Algorithm for Image Noise Reduction

摘要：

The median filtering algorithm has good noisereducing effects, but its time complexity is not desirable. The paper proposed an improved median filtering algorithm. The algorithm uses the correlation of the image to process the features of the filtering mask over the image. It can adaptively resize the mask according to noise levels of the mask. The statistical histogram is also introduced in the searching process of the median value. Experimental results show that the algorithm reduces the noise and retains the details of the image. The complexity of the algorithm is decreased to O (N), and the performance of noise reduction has effectively improved.

关键词： Image Processing Median Filtering Adaptive Filtering Statistical Histogram

作者: Youlian Zhu Cheng Huang

作者单位: College of Electronic Information Engineering Jiangsu Teachers University of Technology Changzhou, China, 213001

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 526-529

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）