Improved algorithm of wavelet thresholding for image denoising

GAO Wen-zhong; CHEN Zhi-yun; ZENG Qiu-mei

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GAO Wen-zhong, CHEN Zhi-yun, ZENG Qiu-mei. Improved algorithm of wavelet thresholding for image denoising[J]. Journal of East China Normal University (Natural Sciences), 2013, (6): 83-92.

Citation:

GAO Wen-zhong, CHEN Zhi-yun, ZENG Qiu-mei. Improved algorithm of wavelet thresholding for image denoising[J]. Journal of East China Normal University (Natural Sciences), 2013, (6): 83-92.

GAO Wen-zhong, CHEN Zhi-yun, ZENG Qiu-mei. Improved algorithm of wavelet thresholding for image denoising[J]. Journal of East China Normal University (Natural Sciences), 2013, (6): 83-92.

Citation:

GAO Wen-zhong, CHEN Zhi-yun, ZENG Qiu-mei. Improved algorithm of wavelet thresholding for image denoising[J]. Journal of East China Normal University (Natural Sciences), 2013, (6): 83-92.

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Improved algorithm of wavelet thresholding for image denoising

1.
Computer Center, East China Normal University, Shanghai 200062, China

Received Date: 2012-09-01
Rev Recd Date: 2013-01-01
Publish Date: 2013-11-25

Abstract

Abstract

The algorithm of the image denoising based on wavelet thresholding shrinkage has been studied. On this basis of soft thresholding function, an improved thresholding function was proposed. The improved thresholding function uses BayesShrink thresholding and SureShrink thresholding to suppress the too many reservations of wavelet coefficients which are produced by SureShrink thresholding. Compared with traditional algorithm (the soft threshold function method (BayesShrink thresholding), the soft threshold function method (SureShrink thresholding), the hard threshold function method and the semi-soft threshold function method), in dealing with the image with few edge points, the processed image based on the improved algorithm has a higher Peak Signal to Noise Ratio(PSNR), a higher Signal to Noise Ratio(SNR), and a lower Mean Square Error(MSE). The processed image based on the improved algorithm is clearer.
- wavelet transform,
- threshold,
- image denoising

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References(1)

References

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