A hybrid spectral gradient method for removing salt-and-pepper impulse noise

摘要：

In this paper, based on a two-phase scheme, a hybrid spectral gradient (HSG) method is proposed for impulse noise removal. The noise candidates are first identified by the adaptive median filter; then these noise candidates are restored by minimizing an edgepreserving regularization functional, which is accomplished by the proposed hybrid spectral gradient method. Moreover, based on a nonmonotone line search, its global convergence can be established. Numerical experiments are given to illustrate the efficiency of HSG method for removing salt-and-pepper impulse noise.

关键词： Image denoising Impulse noise Multivariate spectral gradient method Adaptive gradient method Global convergence

作者: Gaohang Yu Shanzhou Niu Jianhua Ma

作者单位: Jiangxi Key laboratory of numerical simulation, School of Mathematics and Computer Science, GanNan N School of Mathematics and Computer Sciences, GanNan Normal University, Ganzhou, China, 341000 School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 510515

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 780-783

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）