Application of the Rough Set to Image Median Denoising
Bo Chen, Geng Zexun, Yang Yang, Xiaosong Liu · 2007
Image denoising that is a kind of basal pre- treatment can improve visual effect of original images. Rough set is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough set applies to gray image, and a new image median denoising algorithm based on rough set (RSMD) is proposed in this paper. Comparing experiments are done using classical median denoising (CMD) and the denoising algorithm presented in this paper. Experimental results show that the new algorithm denoising outperforms the classical median denoising.