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CAIP
2009
Springer
209views Image Analysis» more  CAIP 2009»
13 years 10 months ago
Total Variation Processing of Images with Poisson Statistics
This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
Alex Sawatzky, Christoph Brune, Jahn Müller, ...
SCALESPACE
2007
Springer
13 years 11 months ago
Super-Resolution Using Sub-band Constrained Total Variation
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...
Priyam Chatterjee, Vinay P. Namboodiri, Subhasis C...
CVPR
2010
IEEE
13 years 12 months ago
Motion Estimation with Non-Local Total Variation Regularization
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...
Manuel Werlberger, Thomas Pock, Horst Bischof
CVPR
2010
IEEE
14 years 3 days ago
Variational Segmentation of Volumetric Elongated Objects
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glob...
Christian Reinbacher, Thomas Pock, Christian Bauer...
CVPR
2010
IEEE
14 years 1 months ago
An Approach to Vectorial Total Variation based on Geometric Measure Theory
We analyze a previously unexplored generalization of the scalar total variation to vector-valued functions, which is motivated by geometric measure theory. A complete mathematical...
Bastian Goldluecke, Daniel Cremers

Source Code
1919views
14 years 5 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
2007
IEEE
14 years 7 months ago
Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization
Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle high-dimensional convex optimization problems arising in image inverse problems (namely dec...
José M. Bioucas-Dias, Mário A. T. Fi...