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Journal of Electronic Imaging

Resolution enhancement of video sequences with simultaneous estimation of the regularization parameter
Author(s): Hu He; Lisimachos P. Kondi
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Paper 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.

Paper Details

Date Published: 1 July 2004
PDF: 11 pages
J. Electron. Imag. 13(3) doi: 10.1117/1.1762889
Published in: Journal of Electronic Imaging Volume 13, Issue 3
Show Author Affiliations
Hu He, Univ. at Buffalo (United States)
Lisimachos P. Kondi, Univ. at Buffalo (United States)

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