46 search results - page 1 / 10 » Total Variation Minimization with Separable Sensing Operator |
ICISP
2010
Springer
13 years 8 months ago
2010
Springer
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
JMIV
2007
13 years 4 months ago
2007
In [2], Chambolle proposed an algorithm for minimizing the total variation of an image. In this short note, based on the theory on semismooth operators, we study semismooth Newton...
ICICIC
2006
IEEE
13 years 10 months ago
2006
IEEE
Traditional nonlinear filtering techniques are observed in underutilization of blur identification techniques, and vice versa. To improve blind image restoration, a designed edg...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
We introduce a novel functional for vector-valued images that generalizes several variational methods, such as the Total Variation and Beltrami Functionals. This functional is bas...