@inproceedings{Chouzenoux_2011_icip,
 author = {Chouzenoux, E. and Pesquet, J.-C. and Talbot, H. and Jezierska, A. },
 title = {A memory gradient algorithm for l2 - l0 regularization with applications to image restoration},
 booktitle = {International Conference on Image Processing ({ICIP})},
 year = {2011},
 month = {Sep.},
 address = {Brussels},
 numpages = {4},
 abstract = {In this paper, we consider a class of differentiable criteria for
		sparse image recovery problems. The regularization is applied
		to a linear transform of the target image. As special
		cases, it includes edge preserving measures or frame analysis
		potentials. As shown by our asymptotic results, the considered
		l2-l0 penalties may be employed to approximate
		solutions to l0 penalized optimization problems. One of the
		advantages of the approach is that it allows us to derive an efficient
		Majorize-Minimize Memory Gradient algorithm. The
		fast convergence properties of the proposed optimization algorithm
		are illustrated through image restoration examples.}
}