基于方向小波变换的高斯噪声图像恢复方法

J4 ›› 2010, Vol. 48 ›› Issue (06): 987-994.

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Gauss Noise Image Recovering Method Based onDirectional Wavelet Transform

ZHANG Zhen^1,2, MA Siliang³, TAN Kun⁴

1. School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318, Heilongjiang Province, China|2. Provincial Key Laboratory of Control and Information Engineering in Oil Field, Daqing 163318, Heilongjiang Province, China|3. Institute of Mathematics, Jilin University, Changchun 130012, China|4. College ofComputer Science and Informational Technology, Daqing Normal University, Daqing 163712, Heilongjiang Province, China

Received:2010-04-23 Online:2010-11-26 Published:2010-11-26
Contact: MA Siliang E-mail:masl@jlu.edu.cn

Abstract

Abstract:

A correlation and threshold denoising method based on the directional wavelet transform was proposed in order to restore the images which were contaminated by the Gaussian noises. The directional wavelet breakthroughs the restriction of the standard 2D wavelet transforms only along horizontal and vertical directions, can transform along any directions. Not only does it weaken the Gibbs effect, but it can protect image edges.
The experiment results show our method has better performances than the denoising method based on the standard wavelet in both PSNR and visual effects.

Key words: directional wavelet transform, Guass noise, image denoising

CLC Number:

TP391.41

ZHANG Shen, MA Si-Liang, TAN Kun. Gauss Noise Image Recovering Method Based onDirectional Wavelet Transform[J].J4, 2010, 48(06): 987-994.

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Gauss Noise Image Recovering Method Based onDirectional Wavelet Transform

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