Sciweavers

8 search results - page 1 / 2
» Example-Based Learning for Single-Image Super-Resolution
Sort
View
DAGM
2008
Springer
13 years 6 months 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
ICCV
2009
IEEE
14 years 9 months ago
Super-Resolution from a Single Image
Methods for super-resolution can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misali...
Daniel Glasner, Shai Bagon, Michal Irani
ICCV
2009
IEEE
3893views Computer Vision» more  ICCV 2009»
14 years 8 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
PAMI
2010
337views more  PAMI 2010»
13 years 3 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