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SIAMIS
2008
279views more  SIAMIS 2008»
13 years 5 months ago
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
CRV
2006
IEEE
223views Robotics» more  CRV 2006»
13 years 11 months ago
Disparity Map Estimation Using A Total Variation Bound
This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an ob...
Wided Miled, Jean-Christophe Pesquet
EMMCVPR
2005
Springer
13 years 11 months ago
An Adaptive Variational Model for Image Decomposition
Abstract. We propose a new model for image decomposition which separates an image into a cartoon, consisting only of geometric objects, and an oscillatory component, consisting of ...
Stacey Levine
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...
VLSM
2005
Springer
13 years 11 months ago
Color Image Deblurring with Impulsive Noise
Abstract. We propose a variational approach for deblurring and impulsive noise removal in multi-channel images. A robust data fidelity measure and edge preserving regularization a...
Leah Bar, Alexander Brook, Nir A. Sochen, Nahum Ki...