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