Super-resolution image restoration from blurred observations

Nirmal K. Bose, Michael K. Ng, Andy C. Yau

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

5 Citations (Scopus)

Abstract

Abstract In this paper, we study the problem of reconstruction of a high-resolution image from several blurred lowresolution image frames. The image frames consist of blurred, decimated and noisy versions of a high-resolution image. The high-resolution image is modeled as a Markov random field (MRF), and a maximum a posteriori (MAP) estimation technique is used for the restoration. We show that with the periodic boundary condition, a high-resolution image can be restored efficiently by using fast Fourier transforms. We also apply the preconditioned conjugate gradient method to restore highresolution images in the aperiodic boundary condition.

Original languageEnglish
Title of host publication2005 IEEE International Symposium on Circuits and Systems (ISCAS)
PublisherIEEE
Pages6296-6299
Number of pages4
ISBN (Print)0780388348
DOIs
Publication statusPublished - May 2005
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: 23 May 200526 May 2005

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
PublisherIEEE
ISSN (Print)0271-4302
ISSN (Electronic)2158-1525

Conference

ConferenceIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
Country/TerritoryJapan
CityKobe
Period23/05/0526/05/05

Scopus Subject Areas

  • Electrical and Electronic Engineering

User-Defined Keywords

  • High-resolution
  • Image restoration
  • Preconditioned conjugate gradient method
  • Regularization

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