2013Cehui kexueRequires access

A hybrid filtering algorithm based on denoising threshold

Zhou Shao-guang

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Abstract

Median filter and average filter are usually used to process impulse noise and Gaussian noise respectively.But when image is corrupted by Gaussian noise and impulse noise simultaneously,good filtering effect cannot be obtained if only using median filter or average filter.In allusion to this question,an improved hybrid image filtering based on the denoising threshold was proposed in this paper.This method would suppress noise efficiently and preserve edge details of image at the same time.

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What this paper is about

Median filter and average filter are usually used to process impulse noise and Gaussian noise respectively.But when image is corrupted by Gaussian noise and impulse noise simultaneously,good filtering effect cannot be obtained if only using median filter or average filter.In allusion to this question,an improved hybrid image filtering based on the denoising threshold was proposed in this paper.This method would suppress noise efficiently and preserve edge details of image at the same time.

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Available abstract

Median filter and average filter are usually used to process impulse noise and Gaussian noise respectively.But when image is corrupted by Gaussian noise and impulse noise simultaneously,good filtering effect cannot be obtained if only using median filter or average filter.In allusion to this question,an improved hybrid image filtering based on the denoising threshold was proposed in this paper.This method would suppress noise efficiently and preserve edge details of image at the same time.

Key concepts: Impulse noise, Median filter, Gaussian noise, Salt-and-pepper noise, Noise reduction, Filter (signal processing), Algorithm, Mathematics

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