Maximum a posteriori video super-resolution with a new multichannel image prior

Stefanos P. Belekos*, Nikolaos P. Galatsanos, Aggelos K. Katsaggelos

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


Super-resolution (SR) is the term used to define the process of estimating a high resolution (HR) image or a set of HR images from a set of low resolution (LR) observations. In this paper we propose a class of SR algorithms based on the maximum a posteriori (MAP) framework. These algorithms utilize a new multichannel image prior model, along with the state-of-the art image prior and observation models. Numerical experiments comparing the proposed algorithms, demonstrate the advantages of the adopted multichannel approach. copyright by EURASIP.

Original languageEnglish (US)
JournalEuropean Signal Processing Conference
StatePublished - 2008
Event16th European Signal Processing Conference, EUSIPCO 2008 - Lausanne, Switzerland
Duration: Aug 25 2008Aug 29 2008

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Maximum a posteriori video super-resolution with a new multichannel image prior'. Together they form a unique fingerprint.

Cite this