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Superresolution under Photometric Diversity of Images

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 036076 (2007) Cite this article

Abstract

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.

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Authors and Affiliations

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

    Murat Gevrekci & Bahadir K Gunturk

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  1. Murat Gevrekci
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  2. Bahadir K Gunturk
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Correspondence to Murat Gevrekci.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://doi.org/creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Gevrekci, M., Gunturk, B.K. Superresolution under Photometric Diversity of Images. EURASIP J. Adv. Signal Process. 2007, 036076 (2007). https://doi.org/10.1155/2007/36076

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