Total Variation Image Denoising with Adaptive Shearlet Domain Restraint
Huasheng Zhu, Chengzhi Deng · Jisuanji gongcheng · 2013
In this paper,an adaptive Shearlet domain regularized minimization total variation image denoising algorithm is proposed,which can overcome the problem of the traditional nonlinear diffusion image denoising methods.The texture and edge domain is adaptively shrinkaged in Shearlet domain.And then,a total variation regularized energy functional model with restrictions on the finite adaptive shearlet domain is used to deal with smooth domain.Experimental results show that this algorithm can reduce the noise and preserve the edge information,especially to the images containing abundant texture.