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  • Research Article
  • Open Access

Superresolution under Photometric Diversity of Images

EURASIP Journal on Advances in Signal Processing20072007:036076

  • Received: 31 August 2006
  • Accepted: 9 April 2007
  • Published:


Superresolution (SR) is a well-known technique to increase the quality of an image using multiple overlapping pictures of a scene. SR requires accurate registration of the images, both geometrically and photometrically. Most of the SR articles in the literature have considered geometric registration only, assuming that images are captured under the same photometric conditions. This is not necessarily true as external illumination conditions and/or camera parameters (such as exposure time, aperture size, and white balancing) may vary for different input images. Therefore, photometric modeling is a necessary task for superresolution. In this paper, we investigate superresolution image reconstruction when there is photometric variation among input images.


  • Information Technology
  • Exposure Time
  • Image Reconstruction
  • Quantum Information
  • Input Image

Authors’ Affiliations

Department of Electrical Engineering, Louisiana State University, Baton Rouge, LA 70809, USA


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© M. Gevrekci and B. K. Gunturk. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.