Image and Video Enhancement

Resolution enhancement of video sequences with simultaneous estimation of the regularization parameter

[+] Author Affiliations
Hu He, Lisimachos P. Kondi

State University of New York at Buffalo, Department of Electrical Engineering, Buffalo, New York?14260

J. Electron. Imaging. 13(3), 586-596 (Jul 01, 2004). doi:10.1117/1.1762889
History: Received Mar. 21, 2003; Revised Aug. 25, 2003; Accepted Nov. 21, 2003; Online July 29, 2004
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Abstract

We propose a technique for the estimation of the regularization parameter for image resolution enhancement (superresolution) based on the assumptions that it should be a function of the regularized noise power of the data and that its choice should yield a convex functional whose minimization would give the desired high-resolution image. The regularization parameter acts adaptively to determine the trade-off between fidelity to the received data and prior information about the image. Experimental results are presented and conclusions are drawn. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Citation

Hu He and Lisimachos P. Kondi
"Resolution enhancement of video sequences with simultaneous estimation of the regularization parameter", J. Electron. Imaging. 13(3), 586-596 (Jul 01, 2004). ; http://dx.doi.org/10.1117/1.1762889


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