Sciweavers

34 search results - page 4 / 7
» A New Alternating Minimization Algorithm for Total Variation...
Sort
View
119
Voted
DAGM
2009
Springer
15 years 7 months ago
Video Super Resolution Using Duality Based TV-L1 Optical Flow
Abstract. In this paper, we propose a variational framework for computing a superresolved image of a scene from an arbitrary input video. To this end, we employ a recently proposed...
Dennis Mitzel, Thomas Pock, Thomas Schoenemann, Da...
112
Voted
MICCAI
2010
Springer
15 years 1 months ago
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization
Abstract. 4D computed tomography (4D-CT) is an important modality in medical imaging due to its ability to resolve patient anatomy motion in each respiratory phase. Conventionally ...
Xun Jia, Yifei Lou, Bin Dong, Zhen Tian, Steve B. ...
125
Voted
DCC
2010
IEEE
15 years 9 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
132
Voted
ECCV
2004
Springer
16 years 4 months ago
A l1-Unified Variational Framework for Image Restoration
Among image restoration literature, there are mainly two kinds of approach. One is based on a process over image wavelet coefficients, as wavelet shrinkage for denoising. The other...
Julien Bect, Laure Blanc-Féraud, Gilles Aub...
118
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Variational Bayesian Kalman filtering in dynamical tomography
The problem of dynamical tomography consists in reconstructing a temporal sequence of images from their noisy projections. For this purpose, a recursive algorithm is usually used,...
Boujemaa Ait-El-Fquih, Thomas Rodet