Computer Engineering & Science >
A Mixed Noise Linear Filtering Algorithm Based on the Neighborhood Structure Similarity
Received date: 2010-03-21
Revised date: 2010-08-02
Online published: 2011-03-25
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.
LUO Xiaojun1,2,WANG Shixiu3,LI Bing4,XU Junling 2 . A Mixed Noise Linear Filtering Algorithm Based on the Neighborhood Structure Similarity[J]. Computer Engineering & Science, 2011 , 33(3) : 67 -72 . DOI: 10.3969/j.issn.1007130X.2011.
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