2010Computer Systems and ApplicationsRequires access

A New Image Gaussian Denoising Algorithm Based on Wiener Filtering

Chen Nai

Open publisher page 1 citations

Abstract

This paper describes the principle of several common image smoothing methods and introduces its shortcomings,and then proposes the new Wiener filtering method of image smoothing.Experimental results show that this method can make up for the defects that the commonly used smoothing filter has in smoothing images polluted by gaussian noise and has obtained good results.

About this research paper

What this paper is about

This paper describes the principle of several common image smoothing methods and introduces its shortcomings,and then proposes the new Wiener filtering method of image smoothing.Experimental results show that this method can make up for the defects that the commonly used smoothing filter has in smoothing images polluted by gaussian noise and has obtained good results.

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Available abstract

This paper describes the principle of several common image smoothing methods and introduces its shortcomings,and then proposes the new Wiener filtering method of image smoothing.Experimental results show that this method can make up for the defects that the commonly used smoothing filter has in smoothing images polluted by gaussian noise and has obtained good results.

Key concepts: Smoothing, Computer science, Wiener filter, Gaussian blur, Noise reduction, Image (mathematics), Gaussian noise, Non-local means

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