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DAGM
2008
Springer
13 years 9 months ago
Convex Hodge Decomposition of Image Flows
The total variation (TV) measure is a key concept in the field of variational image analysis. Introduced by Rudin, Osher and Fatemi in connection with image denoising, it also prov...
Jing Yuan, Gabriele Steidl, Christoph Schnörr
SIAMSC
2010
161views more  SIAMSC 2010»
13 years 6 months ago
Surface Reconstruction and Image Enhancement via L1-Minimization
A surface reconstruction technique based on minimization of the total variation of the gradient is introduced. Convergence of the method is established, and an interior-point algor...
Veselin Dobrev, Jean-Luc Guermond, Bojan Popov
ICIP
2005
IEEE
14 years 1 months ago
A regularization framework for joint blur estimation and super-resolution of video sequences
In traditional digital image restoration, the blurring process of the optic is assumed known. Many previous research efforts have been trying to reconstruct the degraded image or ...
Hu He, Lisimachos P. Kondi
ECCV
2008
Springer
14 years 9 months ago
Non-local Regularization of Inverse Problems
This article proposes a new framework to regularize linear inverse problems using the total variation on non-local graphs. This nonlocal graph allows to adapt the penalization to t...
Gabriel Peyré, Laurent D. Cohen, Séb...
ICPR
2010
IEEE
14 years 2 months ago
Joint Image GMM and Shading MAP Estimation
We consider a simple statistical model of the image, in which the image is represented as a sum of two parts: one part is explained by an i.i.d. color Gaussian mixture and the oth...
Alexander Shekhovtsov, Vaclav Hlavac