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An Efficient Video Enhancement Method Using LA*B* Analysis
Sydney, NSW, Australia November 22-November 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.202006 IEEE International Conference on ...
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Gaurav Mittal, Sushrutha Locharam, Sreela Sasi, Glenn R. Shaffer, Ajith K. Kumar, "An Efficient Video Enhancement Method Using LA*B* Analysis," Advanced Video and Signal Based Surveillance, IEEE Conference on, pp. 66, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006.
 
 
BibTex
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@article{ 10.1109/AVSS.2006.20,
author = {Gaurav Mittal and Sushrutha Locharam and Sreela Sasi and Glenn R. Shaffer and Ajith K. Kumar},
title = {An Efficient Video Enhancement Method Using LA*B* Analysis},
journal ={Advanced Video and Signal Based Surveillance, IEEE Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2688-8},
pages = {66},
doi = {http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.20},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Video and Signal Based Surveillance, IEEE Conference on
TI - An Efficient Video Enhancement Method Using LA*B* Analysis
SN - 0-7695-2688-8
SP
EP
A1 - Gaurav Mittal,
A1 - Sushrutha Locharam,
A1 - Sreela Sasi,
A1 - Glenn R. Shaffer,
A1 - Ajith K. Kumar,
PY - 2006
KW - Video Enhancement
KW - Video Processing
KW - Color Space
KW - Histogram Equalization
VL - 0
JA - Advanced Video and Signal Based Surveillance, IEEE Conference on
ER -
 
Gaurav Mittal, Gannon University, USA
Sushrutha Locharam, Gannon University, USA
Sreela Sasi, Gannon University, USA
Glenn R. Shaffer, GE Transportation Systems, USA
Ajith K. Kumar, GE Transportation Systems, USA
In this paper, an efficient technique is proposed for real-time enhancement of video containing inconsistent and complex conditions like nonuniform and insufficient lighting. Beyond providing digital tools for video enhancement, this method provides a better approach to enhance a video in low lighting conditions without any loss of color information. This approach is based on histogram manipulations on La*b* color model of the video frame. This algorithm provides an effective way for video enhancement with simple computational procedures, which makes real-time enhancement for homeland security application successfully realized. Simulation is done on videos taken under bad lighting conditions and results are presented.
Index Terms:
Video Enhancement, Video Processing, Color Space, Histogram Equalization
Citation:
Gaurav Mittal, Sushrutha Locharam, Sreela Sasi, Glenn R. Shaffer, Ajith K. Kumar, "An Efficient Video Enhancement Method Using LA*B* Analysis," avss, pp.66, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006
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