NDLI: High dynamic range motion image sequences reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Shouxin Cao Junping Du Meiyu Liang
Copyright Year	2014
Description	Author affiliation: Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China (Shouxin Cao; Junping Du; Meiyu Liang)
Abstract	In this paper, we proposed a fast and efficient high dynamic range reconstruction model based on brightness compensation and multi-source bidirectional similarity (MBDS). By introducing the exposure value detecting function, the dynamic image sequence with different exposure values is divided into the high-exposure images, the low-exposure images and the reasonable exposure images. Considering that the brightness dynamic range is an important factor which greatly influences the image visual effect and its rich information contents, we improve the image brightness by the brightness enhancement algorithm for the low-exposure images. By combining the exposure value detecting and the brightness enhancement, it could improve the time efficiency and the block matching accuracy for the high dynamic range reconstruction algorithm based on MBDS, and also the artifacts and shake phenomenon produced in the reconstruction process could be reduced. Experimental results demonstrate that the proposed model could achieve better exposure compensation, which obtains more reasonable image brightness and much richer image details information.
Starting Page	645
Ending Page	650
File Size	1217932
Page Count	6
File Format	PDF
ISBN	9781479947201
e-ISBN	9781479947195
DOI	10.1109/CCIS.2014.7175814
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Exposure compensation Brightness Multi-source bidirectional similarity Brightness enhancement High dynamic range reconstruction Robustness Image reconstruction
Content Type	Text
Resource Type	Article

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