Laser & Optoelectronics Progress, Volume. 52, Issue 11, 111001(2015)
Research on Adaptive Optics Image Denoising Algorithm Based on the Wavelet-Based Contourlet Transform
Based on the statistical property of image noise and combining with BayesShrink theory, a method of image denoising based on wavelet domain Contourlet transform is presented. Using BayesShrink theory to estimate the threshold, considering the local correlation of the neighborhood, then improving the adaptive method of selecting threshold, finally obtaining the optimal threshold Ti,j [σX(LD)], this algorithm has implement the image denoising. Furthermore, analyzing the peak signal to noise ratio (PSNR) and its computational complexity. The simulation results show that the superiority of this algorithm which has obviously improved the visual effect and PSNR when compared to DWT- NABayesShrink method, DTCWT- BayesShrink method and CbATD method.
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Li Dongming, Gai Mengye, Li Chaoran, Zhang Lijuan. Research on Adaptive Optics Image Denoising Algorithm Based on the Wavelet-Based Contourlet Transform[J]. Laser & Optoelectronics Progress, 2015, 52(11): 111001
Category: Imaging Systems
Received: Feb. 15, 2015
Accepted: --
Published Online: Oct. 15, 2015
The Author Email: Dongming Li (ldm0214@163.com)