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CVPR
2008
IEEE
14 years 9 months ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty

Source Code
1919views
14 years 7 months ago
tvreg: Variational Imaging Methods for Denoising, Deconvolution, Inpainting, and Segmentation
TV-based image restoration with options for deconvolution, inpainting, and different noise models. Chan-Vese segmentation also included. Usable from C, C++, or MATLAB.
ICIP
2009
IEEE
13 years 4 months ago
Total variation projection with first order schemes
This article proposes a new algorithm to compute the projection on the set of images whose total variation is bounded by a constant. The projection is computed through a dual form...
Mohamed-Jalal Fadili, Gabriel Peyré
IJCV
2011
163views more  IJCV 2011»
12 years 10 months ago
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on operator splittings and Bregman methods based on a uniļ...
Simon Setzer
CF
2009
ACM
14 years 1 months ago
Accelerating total variation regularization for matrix-valued images on GPUs
The advent of new matrix-valued magnetic resonance imaging modalities such as Diļ¬€usion Tensor Imaging (DTI) requires extensive computational acceleration. Computational accelera...
Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh