Department of Mathematics
On the total variation dictionary model
The goal of this paper is to provide a theoretical study of a total variation (TV) dictionary model. Based on the properties of convex analysis and bounded variation functions, the existence of solutions of the TV dictionary model is proved. We then show that the dual form of the model can be given by the minimization of the sum of the l1-norm of the dual solution and the Bregman distance between the curvature of the primal solution and the subdifferential of TV norm of the dual solution. This theoretical result suggests that the dictionary must represent sparsely the curvatures of solution image in order to obtain a better denoising performance. © 2010 IEEE.
Curvature, Dictionary, Dual problem, Sparse representation, Total variation
Source Publication Title
IEEE Transactions on Image Processing
Institute of Electrical and Electronics Engineers
Link to Publisher's Edition
Zeng, Tieyong, and Michael K. Ng. "On the total variation dictionary model." IEEE Transactions on Image Processing 19.3 (2010): 821-825.