DocumentCode :
3147940
Title :
Regularized optimization for joint super-resolution and high dynamic range image reconstruction in a perceptually uniform domain
Author :
Bengtsson, Tomas ; Gu, Irene Yu-Hua ; Viberg, Mats ; Lindström, Konstantin
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
1097
Lastpage :
1100
Abstract :
This paper discusses resolution enhancement of a set of images with varying exposure durations, having a high combined dynamic range. So far, little has been said in relation to the Human Visual System when it comes to Super-Resolution and High Dynamic Range fusion, unlike the case for traditional Super-Resolution where errors are measured with respect to human perception in the pixel domain. We propose a Super-Resolution method in the L*a*b* domain to bridge that gap and present some image reconstruction results.
Keywords :
image enhancement; image reconstruction; image resolution; high dynamic range fusion; high dynamic range image reconstruction; human perception; human visual system; image resolution enhancement; joint super-resolution; perceptually uniform domain; pixel domain; regularized optimization; Dynamic range; Image edge detection; Image reconstruction; Signal resolution; Spatial resolution; Strontium; Dynamic Range; Human Visual System; Image Reconstruction; Regularization; Super-Resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288078
Filename :
6288078
Link To Document :
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