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» Super-Resolution with Adaptive Regularization
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NIPS
2003
13 years 6 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...
DAGM
2010
Springer
13 years 3 months ago
A Convex Approach for Variational Super-Resolution
We propose a convex variational framework to compute high resolution images from a low resolution video. The image formation process is analyzed to provide to a well designed model...
Markus Unger, Thomas Pock, Manuel Werlberger, Hors...
AIPR
2007
IEEE
13 years 11 months ago
Moving Vehicle Registration and Super-Resolution
We describe a method for registering and superresolving moving vehicles from aerial surveillance video. The challenge of vehicle super-resolution lies in the fact that vehicles ma...
Frederick W. Wheeler, Anthony J. Hoogs
ECCV
2006
Springer
13 years 8 months ago
Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm
We present an analysis and algorithm for the problem of super-resolution imaging, that is the reconstruction of HR (high-resolution) images from a sequence of LR (lowresolution) im...
Hui Ji, Cornelia Fermüller
PAMI
2010
337views more  PAMI 2010»
13 years 3 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon