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» Non-parametric image super-resolution using multiple images
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CVPR
2010
IEEE
15 years 3 months ago
Optimal Coded Sampling for Temporal Super-Resolution
Conventional low frame rate cameras result in blur and/or aliasing in images while capturing fast dynamic events. Multiple low speed cameras have been used previously with stagger...
Amit Agrawal, Mohit Gupta, Ashok Veeraraghavan, Sr...
CRV
2005
IEEE
104views Robotics» more  CRV 2005»
15 years 3 months ago
A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations
We present a novel approach for measuring image similarity based on the composition of parts. The measure identifies common subregions between the images at multiple sizes, and e...
Ady Ecker, Shimon Ullman
ICIP
2006
IEEE
15 years 11 months ago
Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques
In this paper we present a new super resolution Bayesian method for pansharpening of multispectral images which: a) incorporates prior knowledge on the expected characteristics of...
Rafael Molina, Miguel Vega, Javier Mateos, Aggelos...
KES
2008
Springer
14 years 9 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...
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