A new image denoising algorithm based on nonsubsampled contourlet transform

A new postprocessing method based on nonsubsampled contourlet transform is introduced in this paper for suppressing additive Gaussian Noise (AWGN) in images. By transforming the noised image into nonsubsampled contourlet domain, the lowest-frequency subband is filtered by wiener filter firstly. According to the adaptive thresholds, the contourlet coefficients in different subbands are filtered. Experimental results show that our image denoising algorithm achieves the better performance than the traditional wiener filter method and the denoising algorithms based on wavelet or contourlet.