2012World Automation CongressRequires access

A new salt and pepper noise removal filtering algorithm

Xiaorong Tan, Qian Zhang, Daifeng Zha

Open publisher page 1 citations

Abstract

A new filtering algorithm on eliminating salt and pepper noise is presented. The pixel value of the algorithm lies on the average pixel values of its neighbourhood. If the noise density is small, we may estimate and remove the most serious contaminated pixels in the template, and then find the average of remaining pixels within the template. This average is the value of the pixel denoising. In the case of large noise density, the average of point has been obtained by the top three pixels and one pixel on the left is the request. Experiment results show that the new algorithm is good in performance to keep the content of image and remove noise, especially in the case of strong noise and small window.

About this research paper

What this paper is about

A new filtering algorithm on eliminating salt and pepper noise is presented. The pixel value of the algorithm lies on the average pixel values of its neighbourhood. If the noise density is small, we may estimate and remove the most serious contaminated pixels in the template, and then find the average of remaining pixels within the template. This average is the value of the pixel denoising. In the case of large noise density, the average of point has been obtained by the top three pixels and one pixel on the left is the request. Experiment results show that the new algorithm is good in performance to keep the content of image and remove noise, especially in the case of strong noise and small window.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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

A new filtering algorithm on eliminating salt and pepper noise is presented. The pixel value of the algorithm lies on the average pixel values of its neighbourhood. If the noise density is small, we may estimate and remove the most serious contaminated pixels in the template, and then find the average of remaining pixels within the template. This average is the value of the pixel denoising. In the case of large noise density, the average of point has been obtained by the top three pixels and one pixel on the left is the request. Experiment results show that the new algorithm is good in performance to keep the content of image and remove noise, especially in the case of strong noise and small window.

Key concepts: Salt-and-pepper noise, Pixel, Median filter, Non-local means, Noise (video), Dark-frame subtraction, Algorithm, Noise reduction

Related papers

Back to paper searchBrowse research topicsOriginal source
A new salt and pepper noise removal filtering algorithm — Research Paper | ScholarLens