Super Resolution Approaches for Photometrically Diverse Image Sequences
Super resolution (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 registratio...
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Published in | 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 1; pp. I-757 - I-760 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2007
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Subjects | |
Online Access | Get full text |
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Summary: | Super resolution (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 super resolution. In this paper, we investigate super-resolution image reconstruction when there is photometric variation among input images. |
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ISBN: | 9781424407279 1424407273 |
ISSN: | 1520-6149 2379-190X |
DOI: | 10.1109/ICASSP.2007.366018 |