103 search results - page 5 / 21 » Total Variation Based Oversampling of Noisy Images |
CVPR
2008
IEEE
14 years 9 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...
JVCIR
2007
13 years 7 months ago
2007
This paper qualitatively compares three recently proposed models for signal/image texture extraction based on total variation minimization: the Meyer [27], Vese–Osher (VO) [35],...
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...
SCALESPACE
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Super-resolution of a single image is a severely ill-posed problem in computer vision. It is possible to consider solving this problem by considering a total variation ba...
JMIV
2007
13 years 7 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...