Image Filtering Based on an Improved Spring-Mass Model
X. Xia, L.-H. Man, S.-T. Wang
Journal of Algorithms & Computational Technology · 2011
doi:10.1260/1748-3018.5.1.1 (opens in a new tab)
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Abstract
An iterative median filtering algorithm based on improved spring-mass model for the removal of impulse noises from image is proposed by analyzing the deficiencies of median filter when it is used to eliminate impulse noise. The algorithm of the noise detector is based on the mechanical balance principle. Then an iterative median filtering algorithm is used to filter the noise pixels. Compared with conventional methods, the results show that the proposed algorithm is effective in noise suppression and detail preservation.
Abstract licence: CC BY-NC
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