Title :
Total variation information in image recovery
Author :
Combettes, L. ; Pesquet, J.C.
Author_Institution :
Laboratoire Jacques-Louis Lions, Univ. Pierre et Marie Curie, Paris, France
Abstract :
Total variation has proven to be a valuable concept in connection with the recovery of images featuring piecewise smooth components. So far, however, it has been used exclusively as an objective to be minimized under a single constraint. In this paper, we propose an alternative framework in which total variation is used as a constraint in a general quadratic programming context. The advantage of this approach is that it allows for a wider range of constraints to be easily incorporated in the recovery process.
Keywords :
image denoising; image restoration; minimisation; quadratic programming; smoothing methods; variational techniques; general quadratic programming context; image recovery; piecewise smooth components; total variation information; Hilbert space; Noise reduction; Numerical simulation; Quadratic programming; Stacking; TV;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247259
