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PAMI
2010
337views more  PAMI 2010»
13 years 5 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
DAGM
2009
Springer
14 years 11 hour ago
Video Super Resolution Using Duality Based TV-L1 Optical Flow
Abstract. In this paper, we propose a variational framework for computing a superresolved image of a scene from an arbitrary input video. To this end, we employ a recently proposed...
Dennis Mitzel, Thomas Pock, Thomas Schoenemann, Da...
ICANN
2010
Springer
13 years 8 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
ICCV
2007
IEEE
14 years 9 months ago
Penrose Pixels Super-Resolution in the Detector Layout Domain
We present a novel approach to reconstruction based superresolution that explicitly models the detector's pixel layout. Pixels in our model can vary in shape and size, and th...
Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn
MAMMO
2010
Springer
13 years 9 months ago
Mammogram Compression Using Super-Resolution
Abstract. As mammography moves towards completely digital and produces prohibitive amounts of data, compression plays an increasingly important role. Although current lossless comp...
Jun Zheng, Olac Fuentes, Ming-Ying Leung, Elais Ja...