A New Method of Removing Salt-and-Pepper Noise Basing on Grey System Model in Images

摘要：

Focusing on the problem of image details losing while denoising image using Median filter method, the article proposes a salt and pepper noise filtering algorithm basing on grey system theory. The algorithm employs the idea of sorting out current pixel firstly and then filtering, where all the pixels are classified into two groups, according to the noise characteristics, one is suspicious noise and the other is signal pixel. For suspicious noises, the grey system model is adopted to filter noises, and there are nothing to be done for signal pixels in order to preserve more image details. The results of experimental show that the proposed method not only achieved better noise reduction properties, but also has strong ability to preserve details compared with the commonly used median filter algorithm.

关键词： salt and pepper noise grey image grey system model denoising

作者: Tong-Li He Jian-Hong Gan

作者单位: Math Department Chengdu Institute of Information Engineering Chengdu,China Software Engineering Institute Chengdu Institute of Information Engineering Chengdu,China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 574-576

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）