Preconditioned iterative methods for superresolution image reconstruction with multisensors

Michael K. Ng; Kenton N. Sze

doi:10.1117/12.406518

13 November 2000 Preconditioned iterative methods for superresolution image reconstruction with multisensors

Michael K. Ng, Kenton N. Sze

Proceedings Volume 4116, Advanced Signal Processing Algorithms, Architectures, and Implementations X; (2000) https://doi.org/10.1117/12.406518
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Michael K. Ng and Kenton N. Sze "Preconditioned iterative methods for superresolution image reconstruction with multisensors", Proc. SPIE 4116, Advanced Signal Processing Algorithms, Architectures, and Implementations X, (13 November 2000); https://doi.org/10.1117/12.406518

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