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Proceedings Paper

Super-resolution using preconditioned conjugate gradient method
Author(s): Changjiang Yang; Ramani Duraiswami; Larry S. Davis
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Paper Abstract

In this paper we present a fast iterative image superresolution algorithm using preconditioned conjugate gradient method. To avoid explicitly computing the tolerance in the inverse filter based preconditioner scheme,1 a new Wiener filter based preconditioner for the conjugate gradient method is proposed to speed up the convergence. The circulant-block structure of the preconditioner allows efficient implementation using Fast Fourier Transform. Effectiveness of the preconditioner is demonstrated by superresolution results for simulated image sequences.

Paper Details

Date Published: 31 July 2002
PDF: 8 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477201
Show Author Affiliations
Changjiang Yang, Univ. of Maryland/College Park (United States)
Ramani Duraiswami, Univ. of Maryland/College Park (United States)
Larry S. Davis, Univ. of Maryland/College Park (United States)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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