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» A Convex Approach for Variational Super-Resolution
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EMMCVPR
2009
Springer
13 years 11 months ago
A PDE Approach to Coupled Super-Resolution with Non-parametric Motion
The problem of recovering a high-resolution image from a set of distorted (e.g., warped, blurred, noisy) and low-resolution images is known as super-resolution. Accurate motion est...
Mehran Ebrahimi, Anne L. Martel
ECCV
2006
Springer
14 years 6 months ago
Super-Resolution of 3D Face
Abstract. Super-resolution is a technique to restore the detailed information from the degenerated data. Lots of previous work is for 2D images while super-resolution of 3D models ...
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
ICDAR
2011
IEEE
12 years 4 months ago
Super-Resolved Binarization of Text Based on the FAIR Algorithm
—In this paper, we present a novel approach for super-resolved binarization of document images acquired by low quality devices. The algorithm tries to compute the super resolutio...
Thibault Lelore, Frédéric Bouchara
TIP
2002
154views more  TIP 2002»
13 years 4 months ago
Minimizing the total variation under a general convex constraint for image restoration
In this paper, we present a general framework for image restoration; despite its simplicity, certain variational and certain wavelet approaches can be formulated within this framew...
François Malgouyres
ICCV
2009
IEEE
14 years 10 months ago
Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers
We introduce a linearly weighted variant of the total variation for vector fields in order to formulate regularizers for multi-class labeling problems with non-trivial interclass...
J. Lellmann, F. Becker, C. Schn¨orr