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CVPR
2007
IEEE
14 years 9 months ago
Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds
In this paper, we propose a novel learning-based method for image hallucination, with image super-resolution being a specific application that we focus on here. Given a low-resolu...
Wei Fan, Dit-Yan Yeung
ICCV
2009
IEEE
3893views Computer Vision» more  ICCV 2009»
14 years 10 months ago
 Super-Resolution From a Single Image
Methods for super-resolution (SR) can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misa...
Daniel Glasner, Shai Bagon, and Michal Irani
ACCV
2006
Springer
14 years 1 months ago
Super Resolution Using Graph-Cut
Abstract. This paper addresses the problem of super resolution - obtaining a single high-resolution image given a set of low resolution images which are related by small displaceme...
Uma Mudenagudi, Ram Singla, Prem Kumar Kalra, Subh...
SIAMMAX
2010
76views more  SIAMMAX 2010»
13 years 2 months ago
Matrix Structures and Parallel Algorithms for Image Superresolution Reconstruction
Computational resolution enhancement (superresolution) is generally regarded as a memory intensive process due to the large matrix-vector calculations involved. In this paper, a de...
Qiang Zhang, Richard T. Guy, Robert J. Plemmons
ICVGIP
2004
13 years 9 months ago
PCA Based Generalized Interpolation for Image Super-Resolution
In this paper we propose an eigenimage based superresolution reconstruction technique. Eigenimages of a database of several similar low resolution images are obtained and the give...
C. V. Jiji, Subhasis Chaudhuri