Abstract
Image denoising is a very important part in image pre-processing. Due to the problem, which the edge details in the denoised image easily lost with the increase of the template-window size, the image blurring is increased. This paper presents comprehensive analysis on the advantages and disadvantages of existing algorithms and proposes a new algorithm which is called as adaptive median filter algorithm. This algorithm combines the selected mask filter algorithm and median filtering algorithm together. Experimental results show that the algorithm can speed up and the image blurring can be reduced. It also gets a satisfactory effect on the high-density noise image.
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