Iterative Removing Salt and Pepper Noise based on Neighbourhood Information
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 1
Abstract
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.
Authors and Affiliations
Liu Chun, Sun Bishen, Tan Kun, Ma Yingrui
Keywords
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- EP ID EP261569
- DOI 10.14569/IJACSA.2018.090136
- Views 131
- Downloads 0
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