A Mixed Noise Linear Filtering Algorithm Based on the Neighborhood Structure Similarity

作者：Junling Xu · 发表于：Computer Engineering and Science · 年份：2011 · 研究领域：Image and Signal Denoising Methods、Advanced Measurement and Detection Methods、Advanced Image Fusion Techniques

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.