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NIPS
2003
13 years 9 months ago
A Sampled Texture Prior for Image Super-Resolution
Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
Lyndsey C. Pickup, Stephen J. Roberts, Andrew Ziss...
ICASSP
2009
IEEE
14 years 2 months ago
L1 regularized super-resolution from unregistered omnidirectional images
In this paper, we address the problem of super-resolution from multiple low-resolution omnidirectional images with inexact registration. Such a problem is typically encountered in...
Zafer Arican, Pascal Frossard
TIP
2010
154views more  TIP 2010»
13 years 2 months ago
Efficient Fourier-Wavelet Super-Resolution
Super-resolution (SR) is the process of combining multiple aliased low-quality images to produce a high-resolution high-quality image. Aside from registration and fusion of low-res...
M. Dirk Robinson, Cynthia A. Toth, Joseph Y. Lo, S...
ICPR
2008
IEEE
14 years 8 months ago
Super-resolution from unregistered omnidirectional images
This paper addresses the problem of superresolution from low resolution spherical images that are not perfectly registered. Such a problem is typically encountered in omnidirectio...
Zafer Arican, Pascal Frossard
CVPR
2008
IEEE
1094views Computer Vision» more  CVPR 2008»
14 years 9 months ago
Image super-resolution using gradient profile prior
In this paper, we propose an image super-resolution approach using a novel generic image prior ? gradient profile prior, which is a parametric prior describing the shape and the s...
Jian Sun, Zongben Xu, Heung-Yeung Shum