Title :
Total variation minimization by the fast level sets transform
Author :
Dibos, Françoise ; Koepfler, Georges
Author_Institution :
CEREMADE, Univ. de Paris 9, France
Abstract :
The minimisation of the total variation is an important tool of image processing. Many authors have addressed the problem and developed algorithms for image denoising. In a previous paper we gave an alternative approach to the total variation minimization problem based on the Coarea formula. The aim of this paper is to present a new efficient algorithm for the Coarea formula approach, based on the fast level sets transform
Keywords :
image processing; minimisation; set theory; transforms; Coarea formula; fast level sets transform; image denoising; image processing; total variation minimization; Anisotropic magnetoresistance; Digital images; Image denoising; Image processing; Image restoration; Integral equations; Level set; Numerical analysis; Smoothing methods; TV;
Conference_Titel :
Variational and Level Set Methods in Computer Vision, 2001. Proceedings. IEEE Workshop on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1278-X
DOI :
10.1109/VLSM.2001.938897
