In order to improve the de-noising efficiency and heighten the signal fidelity of the existing image de-noising algorithms,the wavelet transform and contourlet transform are studied,the complementary advantages are achieved by combining the two algorithms.An efficient threshold with de-noising algorithm is proposed.Through the establishment of a maximum value list,an appropriate threshold is introduced,and its coefficient is classified,at last,the images are processed by using the optimized soft threshold de-noising algorithm and edge optimization algorithm.Experiments show that the algorithms can effectively de-noise and preserve the edge information.It have high efficiency and high-fidelity.
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万智萍.一种高效的小波Contourlet变换阈值去噪算法[J].激光与红外,2013,43(7):831~836 WAN Zhi-ping. Efficient image denoising method based on wavelet-contourlet transform and threshold[J]. LASER & INFRARED,2013,43(7):831~836