Iterative Removing Salt and Pepper Noise based on Neighbourhood Information
Liu Chun, Sun Bishen, Liu Shaohui, Kun Tan, Yingrui Ma · International Journal of Advanced Computer Science and Applications · 2018
Denoising images is a classical problem in low-level computer vision. In this paper, we propose an algorithm which can remove iteratively salt and pepper noise based on neighbourhood while preserving details. First, we compute the probability of different window without free noise pixel by noise ratio, and then determine the size of window. After that the corrupted pixel is replaced by the weighted eight neighbourhood pixels. If the neighbourhood information does not satisfy the de-noising condition, the corrupted pixels will recover in the subsequent iterations.