Adaptive Image Denoising Based on Sparse Decomposition

Yu Ting Jiang; Zhong Ke Yin

doi:10.4028/www.scientific.net/AMM.130-134.2932

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 130-134Adaptive Image Denoising Based on Sparse...

Adaptive Image Denoising Based on Sparse Decomposition

Abstract:

Different behaviors of image information and noise in sparse decomposition were studied to identify the differences between image information and noise. According to the different coherences between image (or residual image), noise and over-complete dictionary, image information and noise are distinguished. One image adaptive filtering is realized by taking coherent ratio threshold as the constraints of extracting available information.

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Mechanical and Electronics Engineering III

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Periodical:

Applied Mechanics and Materials (Volumes 130-134)

Pages:

2932-2935

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.130-134.2932

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Online since:

October 2011

Authors:

Yu Ting Jiang, Zhong Ke Yin

Keywords:

Coherent Ratio, Image De-Noising, Matching Pursuit, Sparse Decomposition

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References

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