2008Journal of Northeast Normal UniversityRequires access

A method of mixed filter for smoothing of image

Shuang Zhao

Open publisher page 0 citations

Abstract

In this paper,a new mixture filter method is proposed.The proposed method first classifies the pixels into two classes,one is the pixels which are corrupted by Gaussian noise and the other is the pixels which are corrupted by impulse noise.Using the property that high order statistics are not sensitive to Gaussian noise to processing gaussian noise,and can mostly save the image details which greatly dwindling noise.In the experiment,this mixed method can deal with the images which have Gaussian noise and salt-pepper noise effectively,and it saves more details,it has better effect especially for the images have more noise.

About this research paper

What this paper is about

In this paper,a new mixture filter method is proposed.The proposed method first classifies the pixels into two classes,one is the pixels which are corrupted by Gaussian noise and the other is the pixels which are corrupted by impulse noise.Using the property that high order statistics are not sensitive to Gaussian noise to processing gaussian noise,and can mostly save the image details which greatly dwindling noise.In the experiment,this mixed method can deal with the images which have Gaussian noise and salt-pepper noise effectively,and it saves more details,it has better effect especially for the images have more noise.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper,a new mixture filter method is proposed.The proposed method first classifies the pixels into two classes,one is the pixels which are corrupted by Gaussian noise and the other is the pixels which are corrupted by impulse noise.Using the property that high order statistics are not sensitive to Gaussian noise to processing gaussian noise,and can mostly save the image details which greatly dwindling noise.In the experiment,this mixed method can deal with the images which have Gaussian noise and salt-pepper noise effectively,and it saves more details,it has better effect especially for the images have more noise.

Key concepts: Salt-and-pepper noise, Gaussian noise, Median filter, Impulse noise, Computer science, Noise (video), Smoothing, Value noise

Related papers

Back to paper searchBrowse research topicsOriginal source
A method of mixed filter for smoothing of image — Research Paper | ScholarLens