Bayesian super-resolution image reconstruction using an ℓ1 prior

Salvador Villena*, Miguel Vega, Rafael Molina, Aggelos K Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

51 Scopus citations

Abstract

Abstract: This paper deals with the problem of high-resolution (HR) image reconstruction, from a set of degraded, undersampled, shifted and rotated images, under the Bayesian paradigm, utilizing a variational approximation. Bayesian methods rely on image models that encapsulate prior image knowledge and avoid the ill-posedness of the image restoration problems. In this paper a new prior based on the ℓ1 norm of vertical and horizontal first order differences of image pixel values is introduced and its parameters are estimated. The estimated HR images are compared with images provided by other HR reconstruction methods.

Original languageEnglish (US)
Title of host publicationISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis
Pages156-161
Number of pages6
StatePublished - Nov 30 2009
Event6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009 - Salzburg, Austria
Duration: Sep 16 2009Sep 18 2009

Publication series

NameISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis

Other

Other6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009
CountryAustria
CitySalzburg
Period9/16/099/18/09

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing

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    Villena, S., Vega, M., Molina, R., & Katsaggelos, A. K. (2009). Bayesian super-resolution image reconstruction using an ℓ1 prior. In ISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis (pp. 156-161). [5297740] (ISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis).