An Efficient Salt-and-Pepper Noise Removal on Local Edge-Preserving Function

摘要：

This paper presents a novel procedure for the salt-and-pepper noise remove on the local edge-preserving function. In the first phase,adaptive median filter is used to detect noisy pixels. In the second phase,local edge-preserving function is built.In the third phase,a minimization problem is solved by the Poly-Ribiere-Polak(PRP) method. Through the improvement on minimum allowed window size and maximum allowed window size of the adaptive median filter in the first phase,our method is much less running time in the phase,when the noise ratio is high,Comparing the results of removing noise,our method is better because of the local edge-preserving regularization,at the same time it is the PRP method by which the minimization problem is solved that keep our method robust and courage.

作者: Kun He Jiliu Zhou Liu Chang Ran Liu

作者单位: Computer College,Sichuan University,Chengdu,610064,P.R.China

会议类型: 国际会议

会议名称: The 2008 International Conference on Embedded Software and Systems Symposia(ICESS 2008)(2008国际嵌入式系统及嵌入式软件会议)

会议地点: 成都

会议语种:英文

页码: 392-397

在线出版日期: 2008-01-01（万方平台首次上网日期，不代表论文的发表时间）