A primal-dual method for TV-type image denoising
 
 
Description:  Total-variation (TV) image reconstruction is well accepted for denoising images with sharp edges. The main advantage of the TV-approach, which was first proposed by Rudin, Osher and Fatemi in 1992, is that edges are not smeared in the reconstructed image. Mathematically, the problem is a minimization problem with a non-differentiable functional whose efficient minimization is still a challenging issue. In this talk, a primal-dual algorithm for TV-type image restoration is analyzed and tested. The globalized primal-dual algorithm works with generalized derivatives, converges locally at a superlinear rate and is stable with respect to noise in the data. In addition, it utilizes a projection technique which reduces the size of the linear system that has to be solved per iteration. A comprehensive numerical study ends the talk. The research presented in this talk is joint work with Michael HintermÌller from the University of Graz, Austria.
Area(s):
Date:  2005-11-09
Start Time:   14.30
Speaker:  Georg Stadtler (CMUC)
Place:  Room 5.5
Research Groups: -Numerical Analysis and Optimization
See more:   <Main>  
 
© Centre for Mathematics, University of Coimbra, funded by
Science and Technology Foundation
Powered by: rdOnWeb v1.4 | technical support