Improvement and Simulation Analysis of Threshold Denoising Algorithm

Yan Xia Liu; Yan Li; Bei Bei Dong; Yan Yan Cao; Yan Li Ma

doi:10.4028/www.scientific.net/AMM.313-314.1060

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 313-314Improvement and Simulation Analysis of Threshold...

Improvement and Simulation Analysis of Threshold Denoising Algorithm

Abstract:

According to the characteristics of image wavelet decomposition and statistical characteristics of high frequency wavelet coefficients after wavelet decomposition, this article improves the traditional threshold function de-noising algorithm. Improved threshold function not only overcomes wavelet coefficient discontinuity caused by hard threshold function de-noising and certain deviation witch always exists between wavelet coefficients caused by soft threshold function de-noising and its real value. The experimental results show that, the improved threshold function de-noising results are better than traditional soft and hard threshold method either in the visual effects, or the PSNR gain.

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Periodical:

Applied Mechanics and Materials (Volumes 313-314)

Pages:

1060-1063

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.313-314.1060

Citation:

Cite this paper

Online since:

March 2013

Authors:

Yan Xia Liu, Yan Li, Bei Bei Dong, Yan Yan Cao, Yan Li Ma

Keywords:

De-Noising, Image, Threshold, Wavelet Transform (WT)

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References

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