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

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.

Key words: image denoise, salt-and-pepper noise, adaptive median filter, edge-preserving potential function, regularization, GBB method