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» Kernel Resolution Synthesis for Superresolution
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ICASSP
2007
IEEE
13 years 11 months ago
Kernel Resolution Synthesis for Superresolution
Abstract— This work considers a combination classificationregression based framework with the proposal of using learned kernels in modified support vector regression to provide...
Karl S. Ni, Truong Nguyen
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
ICPR
2004
IEEE
14 years 6 months ago
An Iris Image Synthesis Method Based on PCA and Super-Resolution
It is very important for the performance evaluation of iris recognition algorithms to construct very large iris databases. However, limited by the real conditions, there are no ve...
Jiali Cui, JunZhou Huang, Tieniu Tan, Yunhong Wang...
3DIM
2007
IEEE
13 years 11 months ago
Super-Resolution Stereo- and Multi-View Synthesis from Monocular Video Sequences
This paper presents a new approach for generation of superresolution stereoscopic and multi-view video from monocular video. Such multi-view video is used for instance with multi-...
Sebastian Knorr, Matthias Kunter, Thomas Sikora
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