Superresolution under Photometric Diversity of Images. (5th June 2007)

• Record Type: Journal Article
• Authors: Gevrekci Gevrekci, Murat Murat; Gunturk Gunturk, Bahadir K. Bahadir K.
• Other Names: Schultz Schultz Richard R. Richard R. Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2007(2007)
• Publication Date: 2007-06-05
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2007/36076
• Languages: English
• ISSNs: 1687-6172

Abstract

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.