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2006 IEEE International Conference on Multimedia and Expo
A New Image Correction Method for Multiview Video System
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
ASCII Text
x 
 
Feng Shao, Gangyi Jiang, Mei Yu, Xiexiong Chen, "A New Image Correction Method for Multiview Video System," Multimedia and Expo, IEEE International Conference on, pp. 205-208, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2006.262418,
author = {Feng Shao and Gangyi Jiang and Mei Yu and Xiexiong Chen},
title = {A New Image Correction Method for Multiview Video System},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {205-208},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262418},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - A New Image Correction Method for Multiview Video System
SN - 1-4244-0366-7
SP205
EP208
A1 - Feng Shao,
A1 - Gangyi Jiang,
A1 - Mei Yu,
A1 - Xiexiong Chen,
PY - 2006
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Feng Shao, Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; Department of Information and Electronics Engineering, Zhejiang University, 310027, China
Gangyi Jiang, Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; National Key Laboratory of Machine Perception, Peking University, 100871, China
Mei Yu, Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; National Key Laboratory of Machine Perception, Peking University, 100871, China
Xiexiong Chen, Department of Information and Electronics Engineering, Zhejiang University, 310027, China
Because of scene illumination or camera calibration, color appearance of the same object between different viewpoints may be different in multiview video system. Traditional illumination compensation algorithm for image is unable to solve this problem effectively. In this paper, a novel color correction method for multiview video system is proposed based on retinex color constancy theory. To eliminate influence of un-consistent light sources, histogram equalization, retinex processing and color restoration are performed for multiview images to extract reflectance that describes object intrinsic properties. Experimental results show that the proposed image correction method for multiview video system is effective.
Citation:
Feng Shao, Gangyi Jiang, Mei Yu, Xiexiong Chen, "A New Image Correction Method for Multiview Video System," icme, pp.205-208, 2006 IEEE International Conference on Multimedia and Expo, 2006
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