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» Image super-resolution using gradient profile prior
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PAMI
2010
337views more  PAMI 2010»
14 years 8 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
104
Voted
DAGM
2008
Springer
15 years 1 days ago
Example-Based Learning for Single-Image Super-Resolution
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
Kwang In Kim, Younghee Kwon
85
Voted
SCALESPACE
2007
Springer
15 years 4 months ago
Motion Compensated Video Super Resolution
In this paper we present a variational, spatiotemporal video super resolution scheme that produces not just one but n high resolution video frames from an n frame low resolution vi...
Sune Høgild Keller, François Lauze, ...
81
Voted
NIPS
2003
14 years 11 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...
KES
2008
Springer
14 years 10 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...