Contourlet-based image denoising algorithm using adaptive windows

Contourlet is a new effective signal representation tool in many image applications. In this paper, a contourlet-based image denoising algorithm using adaptive windows which utilizes both the captured directional information by the contourlet transform and the intrinsic geometric structure information of the image is proposed. The adaptive window in each of the contourlet subband is first fixed by autocorrelation function of contourlet coefficients´ energy distribution, and then the local Wiener filtering is used to denoise the noisy image. Experiments show that the proposed algorithm achieves better performance than current subsampled contourletbased image denoising algorithms.