Study on the Algorithm Based on Local Correlation for Noise Detection

Li Hua Sun; En Liang Zhao; Qi Cheng Xu

doi:10.4028/www.scientific.net/AMR.971-973.1764

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973Study on the Algorithm Based on Local Correlation...

Study on the Algorithm Based on Local Correlation for Noise Detection

Abstract:

This paper presents a new method for removing mixed noise based on the local correlation and local correlation for removal of center in the image. We can distinguish between the signal point and impulse noise point. We will process the impulse noise point using the median filtering, and the signal point will be preserved. The image for removal of impulse noise after the transition is filtered by Gauss noise based on the heat conduction equation in image denoising algorithm. The numerical experiments show the clearer image may be obtained by the proposed method for image denoising. The denoising image retains the image details. It is an effective method for image denoising.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

1764-1767

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.971-973.1764

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Online since:

June 2014

Authors:

Li Hua Sun*, En Liang Zhao, Qi Cheng Xu

Keywords:

Gauss Noise, Heat Conduction Equation, Impulse Noise, Local Correlation, Median Filtering

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* - Corresponding Author

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