DocumentCode :
627131
Title :
Recover image details from LDR photographs
Author :
Kui Fan ; Honggang Qi ; Dawei Du ; Changhua Zhang
Author_Institution :
Coll. of Electron., Inf. Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2013
fDate :
19-23 May 2013
Firstpage :
2884
Lastpage :
2887
Abstract :
In this paper, a novel self-adaptive curve, based on human visual model (HVM), is proposed for recovering details from low dynamic range (LDR) digital photographs, which are under-exposed or over-exposed or both. In order to improve the perceptual visibility, we utilize HVM to construct our method, which is able to take advantage of entire dynamic range to enhance the contrast of images. Extensive experiments demonstrate that our method consistently achieves satisfying results for unwell-exposed LDR photographs.
Keywords :
digital photography; image processing; image retrieval; LDR photographs; human visual model; image contrast; image details recovery; low dynamic range digital photographs; over-exposed; under-exposed; Brightness; Cameras; Dynamic range; Equations; Histograms; Mathematical model; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location :
Beijing
ISSN :
0271-4302
Print_ISBN :
978-1-4673-5760-9
Type :
conf
DOI :
10.1109/ISCAS.2013.6572481
Filename :
6572481
Link To Document :
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