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EMMCVPR
2009
Springer
14 years 3 days 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 7 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
SIAMIS
2010
114views more  SIAMIS 2010»
13 years 3 months ago
Improved Total Variation-Type Regularization Using Higher Order Edge Detectors
We present a novel deconvolution approach to accurately restore piecewise smooth signals from blurred data. The first stage uses Higher Order Total Variation restorations to obtai...
Wolfgang Stefan, Rosemary A. Renaut, Anne Gelb
ICISP
2010
Springer
13 years 9 months ago
Total Variation Minimization with Separable Sensing Operator
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
ICDAR
2009
IEEE
13 years 3 months ago
Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation
We compare in this study two image restoration approaches for the pre-processing of printed documents: namely the Non-local Means filter and a total variation minimization approac...
Laurence Likforman-Sulem, Jérôme Darb...