DocumentCode :
2795234
Title :
Robust generation of high dynamic range images
Author :
Li, Zhengguo ; Zhu, Zijian ; Xie, Shoulie ; Wu, Shiqian ; Rahardja, Susanto
Author_Institution :
Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
1038
Lastpage :
1041
Abstract :
A robust scheme is proposed to generate an anti-ghosting high dynamic range (HDR) image from a set of low dynamic range (LDR) images with different exposure times. Three major contributions of this paper are 1) a bi-directional prediction method; 2) an adaptive threshold for the classification of pixels; 3) Bayes estimator based methods for the on-line updating of predicted values and the synthesis of pixels to fill in the regions of moving objects to preserve their dynamic ranges. The proposed scheme is suitable for both static and dynamic scenes.
Keywords :
Bayes methods; image processing; Bayes estimator; HDR; LDR; high dynamic range; high dynamic range images; low dynamic range; robust generation; Bidirectional control; Cameras; Dynamic range; Entropy; Image processing; Layout; Pixel; Prediction methods; Robustness; Signal generators; High dynamic range; collaborative image processing; ghosting artifacts; similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495327
Filename :
5495327
Link To Document :
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