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SIGPRO
2002
160views more  SIGPRO 2002»
13 years 4 months ago
New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction
This paper describes newly invented multiscale transforms known under the name of the ridgelet [6] and the curvelet transforms [9, 8]. These systems combine ideas of multiscale an...
Emmanuel J. Candès, Franck Guo
JSCIC
2007
165views more  JSCIC 2007»
13 years 5 months ago
A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration
Image restoration has been an active research topic and variational formulations are particularly effective in high quality recovery. Although there exist many modelling and theore...
Ke Chen 0002, Xue-Cheng Tai
JMIV
2007
484views more  JMIV 2007»
13 years 5 months ago
On Semismooth Newton's Methods for Total Variation Minimization
In [2], Chambolle proposed an algorithm for minimizing the total variation of an image. In this short note, based on the theory on semismooth operators, we study semismooth Newton...
Michael K. Ng, Liqun Qi, Yu-Fei Yang, Yu-Mei Huang
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
JMIV
2006
161views more  JMIV 2006»
13 years 5 months ago
Image Restoration with Discrete Constrained Total Variation Part I: Fast and Exact Optimization
This paper deals with the total variation minimization problem in image restoration for convex data fidelityfunctionals.Weproposeanewandfastalgorithmwhichcomputesanexactsolutionint...
Jérôme Darbon, Marc Sigelle
JMIV
2006
124views more  JMIV 2006»
13 years 5 months ago
Iterative Total Variation Regularization with Non-Quadratic Fidelity
Abstract. A generalized iterative regularization procedure based on the total variation penalization is introduced for image denoising models with non-quadratic convex fidelity ter...
Lin He, Martin Burger, Stanley Osher
KES
2008
Springer
13 years 5 months ago
Super Resolution of Multispectral Images Using TV Image Models
Abstract. In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formu...
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos...
CSDA
2007
131views more  CSDA 2007»
13 years 5 months ago
Bivariate density estimation using BV regularisation
In this paper we study the problem of bivariate density estimation. The aim is to find a density function with the smallest number of local extreme values which is adequate with ...
Andreas Obereder, Otmar Scherzer, Arne Kovac
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 5 months ago
Optimization and Convergence of Observation Channels in Stochastic Control
This paper studies the optimization of observation channels (stochastic kernels) in partially observed stochastic control problems. In particular, existence, continuity, and convex...
Serdar Yüksel, Tamás Linder
CIMAGING
2009
274views Hardware» more  CIMAGING 2009»
13 years 6 months ago
Image zooming with contour stencils
We introduce "contour stencils" as a simple method for detecting the local orientation of image contours and apply this detection to image zooming. Our approach is motiv...
Pascal Getreuer