Open Access
2012 Energy-Driven Image Interpolation Using Gaussian Process Regression
Lingling Zi, Junping Du
J. Appl. Math. 2012(SI08): 1-13 (2012). DOI: 10.1155/2012/435924


Image interpolation, as a method of obtaining a high-resolution image from the corresponding low-resolution image, is a classical problem in image processing. In this paper, we propose a novel energy-driven interpolation algorithm employing Gaussian process regression. In our algorithm, each interpolated pixel is predicted by a combination of two information sources: first is a statistical model adopted to mine underlying information, and second is an energy computation technique used to acquire information on pixel properties. We further demonstrate that our algorithm can not only achieve image interpolation, but also reduce noise in the original image. Our experiments show that the proposed algorithm can achieve encouraging performance in terms of image visualization and quantitative measures.


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Lingling Zi. Junping Du. "Energy-Driven Image Interpolation Using Gaussian Process Regression." J. Appl. Math. 2012 (SI08) 1 - 13, 2012.


Published: 2012
First available in Project Euclid: 3 January 2013

zbMATH: 1251.94011
MathSciNet: MR2948126
Digital Object Identifier: 10.1155/2012/435924

Rights: Copyright © 2012 Hindawi

Vol.2012 • No. SI08 • 2012
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