Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference28 articles.
1. Adapting to unknown smoothness via wavelet shrinkage;Donoho;Journal of the American Statistical Association,1995
2. Wavelet-based image estimation: an empirical Bayes approach using Jeffreys’ noninformative prior;Figueiredo;IEEE Transactions on Image Processing,2001
3. Image denoising using scale mixtures of Gaussians in the wavelet domain;Portilla;IEEE Transactions on Image Processing,2003
4. L.I. Rudin, S. Osher, E. Fatemi, Nonlinear total variation based noise removal algorithms, in: 11th Annual International Conference of the Center for Nonlinear Studies on Experimental Mathematics : Computational Issues in Nonlinear Science, Los Alamos, Nm, 1991, pp. 259–268.
5. M.A.T. Figueiredo, J. Bioucas Dias, J.P. Oliveira, R.D. Nowak, On total variation denoising: a new majorization-minimization algorithm and an experimental comparison with wavelet denoising, in: IEEE International Conference on Image Processing (ICIP 2006), Atlanta, GA, 2006, pp. 2633–2636.
Cited by
32 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献