FTVd: A Fast Algorithm for Total Variation based Deconvolution
The work of W. Yin has been supported in part by NSF CAREER Award DMS-0748839, ONR Grant N00014-08-1-1101, the U. S. Army Research Laboratory and the U. S. Army Research Office grant W911NF-09-1-0383, and an Alfred P. Sloan Research Fellowship.
The work of Y. Zhang has been supported in part by NSF Grant DMS-0811188 and ONR Grant N00014-08-1-1101.
Y. Wang, J. Yang, W. Yin and Y. Zhang,
"A New Alternating Minimization Algorithm for Total Variation Image Reconstruction",
SIAM Journal on Imaging Sciences, 1(3), 248-272, 2008. [PDF file]
J. Yang, W. Yin, Y. Zhang and Y. Wang,
"A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration",
SIAM Journal on Imaging Sciences, 2(2), 569-592, 2009. [PDF file]
J. Yang, Y. Zhang and W. Yin,
"An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise",
SIAM Journal on Scientific Computing, 31(4), 2842-2865, 2009. [PDF file]
M. Tao and J. Yang,
"Alternating Direction Algorithms for Total Variation Deconvolution in Image Deconstruction",
available at Optimization Online. [PDF file]