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Proceedings Paper

Preconditioned iterative methods for superresolution image reconstruction with multisensors
Author(s): Michael K. Ng; Kenton N. Sze
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Paper Abstract

We study the problem of reconstructing a super-resolution image f from multiple undersampled, sifted, degraded frames with subpixel displacement errors. The corresponding operator H is a spatially- variant operator. In this paper, we apply the preconditioned conjugate gradient method with cosine transform preconditioners to solve the discrete problems. Preliminary results show that our method converges very fast and gives sound recovery of the super- resolution images.

Paper Details

Date Published: 13 November 2000
PDF: 10 pages
Proc. SPIE 4116, Advanced Signal Processing Algorithms, Architectures, and Implementations X, (13 November 2000); doi: 10.1117/12.406518
Show Author Affiliations
Michael K. Ng, Univ. of Hong Kong (Hong Kong)
Kenton N. Sze, Univ. of Hong Kong (Hong Kong)


Published in SPIE Proceedings Vol. 4116:
Advanced Signal Processing Algorithms, Architectures, and Implementations X
Franklin T. Luk, Editor(s)

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