An efficient parallel algorithm for high resolution color image reconstruction

M. K. Ng*

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

This paper studies the application of preconditioned conjugate gradient methods in high resolution color image reconstruction problems. The high resolution color images are reconstructed from multiple undersampled, shifted, degraded color frames with subpixel displacements. The resulting degradation matrices are spatially variant. The preconditioners are derived by taking the cosine transform approximation of the degradation matrices. The resulting preconditioning matrices allow the use of fast transform methods. We show how the methods can be implemented on parallel computers, and we demonstrate their parallel efficiency using experiments on a sixteen processor IBM SP-2.

Original languageEnglish
Title of host publicationProceedings Seventh International Conference on Parallel and Distributed Systems: Workshops
EditorsYoshitaka Shibata
PublisherIEEE
Pages547-552
Number of pages6
ISBN (Print)0769505716, 9780769505718, 0769505724 , 0769505732
DOIs
Publication statusPublished - 4 Jul 2000
Event7th International Conference on Parallel and Distributed Systems, ICPADS 2000 - Iwate, Japan
Duration: 4 Jul 20007 Jul 2000
https://ieeexplore.ieee.org/xpl/conhome/6934/proceeding
https://ieeexplore.ieee.org/xpl/conhome/7101/proceeding

Publication series

NameProceedings - International Conference on Parallel and Distributed Systems: Workshops

Conference

Conference7th International Conference on Parallel and Distributed Systems, ICPADS 2000
Country/TerritoryJapan
CityIwate
Period4/07/007/07/00
Internet address

Scopus Subject Areas

  • Computer Networks and Communications
  • Hardware and Architecture

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