DocumentCode :
3409068
Title :
Correcting over-exposure in photographs
Author :
Guo, Dong ; Cheng, Yuan ; Zhuo, Shaojie ; Sim, Terence
Author_Institution :
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2010
fDate :
13-18 June 2010
Firstpage :
515
Lastpage :
521
Abstract :
This paper introduces a method to correct over-exposure in an existing photograph by recovering the color and lightness separately. First, the dynamic range of well exposed region is slightly compressed to make room for the recovered lightness of the over-exposed region. Then the lightness is recovered based on an over-exposure likelihood. The color of each pixel is corrected via neighborhood propagation and also based on the confidence of the original color. Previous methods make use of ratios between different color channels to recover the over-exposed ones, and thus can not handle regions where all three channels are over-exposed. In contrast, our method does not have this limitation. Our method is fully automatic and requires only one single input photo. We also provide users with the flexibility to control the amount of over-exposure correction. Experiment results demonstrate the effectiveness of the proposed method in correcting over-exposure.
Keywords :
image processing; photography; color recovery; dynamic range; lightness recovery; over-exposure correction; over-exposure likelihood; photographs; Automatic control; Color; Digital cameras; Dynamic range; Image coding; Layout; Optical propagation; Photography; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location :
San Francisco, CA
ISSN :
1063-6919
Print_ISBN :
978-1-4244-6984-0
Type :
conf
DOI :
10.1109/CVPR.2010.5540170
Filename :
5540170
Link To Document :
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