Image denoising based on Contourlet transform and total variation
一种基于Contourlets变换和全变差的图像去噪方法

In order to overcome the oscillation phenomenon and preserve more details in image denoising, a recently proposed Contourlet transform was used, which was an efficient directional multi-resolution image representation and behaved much better than the wavelet transform in capturing fine details, e.g., the edge and the texture. Unlike most conventional Total Variation (TV) minimization techniques in image processing, the TV regularity in this paper was directly imposed on the Contourlet domain. The proposed method performs efficient image denoising with fewer artifacts, and achieves a better compromise between noise removal and edge preservation.