Abstract:

A mixed noise linear filtering algorithm based on the neighborhood structure

information’s similarity (GLMF) is proposed, which is also a good improvement of the linear

filter algorithm(LMF). This algorithm makes full use of the image of redundant information to

restore the mixed noise pollution of pixels. In judging the similarity of neighborhood pixels,

we consider the pixel values, and consider the similarity of a pixel neighborhood structure,

while using the gradient of pixel values to express neighborhood information. Simulation

experiments show, comparing with the existing similar filter, GLMF is better on both visual

effect and PSNR. This algorithm is applicable to restore the Gaussian noise and random pulse

noise mixed pollution digital images.

Key words: digital image；Gaussian noise；impulse noise；mixing noise；filtering algorithm； gradient operator