Single-Image Super-Resolution Using Active-Sampling Gaussian Process Regression

As well known, Gaussian process regression (GPR) has been successfully applied to example learning-based image super-resolution (SR). Despite its effectiveness, the applicability of a GPR model is limited by its remarkably computational cost when a large number of examples are available to a learnin...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 2 vom: 10. Feb., Seite 935-48
1. Verfasser:	Wang, Haijun (VerfasserIn)
Weitere Verfasser:	Gao, Xinbo, Zhang, Kaibing, Li, Jie
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2016
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't