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This paper proposed an improved denoising method for removing the impulse noise. Firstly, analyze the each pixel of the corrupted image on eight directions, to determine whether the pixel is an impulse noise point. Then, create a noise identification matrix which has the same size of the original image, it can mark out the position of the noise point in the image. At last, with the guidance of the noise identification matrix, remove the impulse noise point one by one. The experiments are shown that the improved method has a larger PNSR value than the standard median filter(SM) algorithm, and retains a better details and sharper edges.

An Improved Impulse Noise Detection and Removal Method