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Preconditioned iterative methods for super-resolution image reconstruction with multisensors

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

6 Citations (Scopus)

Abstract

We study the problem of reconstructing a super-resolution image f from multiple undersampled, shifted, 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.

Original languageEnglish
Title of host publicationAdvanced Signal Processing Algorithms, Architectures, and Implementations X
Subtitle of host publicationInternational Symposium on Optical Science and Technology
EditorsFranklin T. Luk
PublisherSPIE
Pages396-405
Number of pages10
DOIs
Publication statusPublished - 13 Nov 2000
EventAdvance Signal Processing Algorithms, Atchitectures, and Implementations X: International Symposium on Optical Science and Technology - San diego, United States
Duration: 30 Jul 20004 Aug 2000

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume4116
ISSN (Print)0277-786X

Conference

ConferenceAdvance Signal Processing Algorithms, Atchitectures, and Implementations X
Country/TerritoryUnited States
CitySan diego
Period30/07/004/08/00

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