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CVPR
2007
IEEE
16 years 8 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»
16 years 9 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
16 years 2 days 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»
15 years 25 days 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
15 years 7 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