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2010•Computer Engineering and Applications JournalRequires access

Adaptive mixed filtering method for removing image noise

Haiyong Wu

Open publisher page 4 citations

Abstract

A new method of mixed noise removal for digital image is presented in the paper,combing adaptive median filter and adaptive compressed weighted mean filter.The min-max operator is used to detect impulse noise and remove the impulse noise with adaptive median filter.An adaptive compressed weighted mean filter is used to filter Gaussian noise.Lots of experiments show that the method can remove mixed impulse and Gaussian noise efficiently while protecting image details.

About this research paper

What this paper is about

A new method of mixed noise removal for digital image is presented in the paper,combing adaptive median filter and adaptive compressed weighted mean filter.The min-max operator is used to detect impulse noise and remove the impulse noise with adaptive median filter.An adaptive compressed weighted mean filter is used to filter Gaussian noise.Lots of experiments show that the method can remove mixed impulse and Gaussian noise efficiently while protecting image details.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A new method of mixed noise removal for digital image is presented in the paper,combing adaptive median filter and adaptive compressed weighted mean filter.The min-max operator is used to detect impulse noise and remove the impulse noise with adaptive median filter.An adaptive compressed weighted mean filter is used to filter Gaussian noise.Lots of experiments show that the method can remove mixed impulse and Gaussian noise efficiently while protecting image details.

Key concepts: Impulse noise, Median filter, Salt-and-pepper noise, Gaussian noise, Adaptive filter, Computer science, Kernel adaptive filter, Noise (video)

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