北京大学学报（自然科学版）2006，Vol.42Issue(5)：604-612,9.
一个高效的椒盐噪声去除方法
An Efficient Salt-and-Pepper Noise Removal
摘要
Abstract
A more efficient two-phase salt-and-pepper noise removal method is proposed. In the first phase, adaptive median filter is used to detect noisy pixels. In the second phase, a minimization problem is solved by global Barzilai and Borwein (GBB) method. Through the improvement on edge-preserving regularization in the second phase, no regularization coefficient need to be chosen, and the parameter α of the edge-preserving potential function, φ(t) =|t|α, can create adaptively. Comparing the results of removing noise, our method is better with much less running time, especially when the noise ratio is high.关键词
图像去噪/椒盐噪声/自适应中值滤波/保边势函数/正则化/GBB 方法Key words
image denoise/salt-and-pepper noise/adaptive median filter/edge-preserving potential function/regularization/GBB method分类
数理科学引用本文复制引用
董艺秋,徐树方..一个高效的椒盐噪声去除方法[J].北京大学学报（自然科学版）,2006,42(5):604-612,9.基金项目
国家自然科学基金(10571007)和博士点基金(20030001103)资助项目 （10571007）
