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Chin. Opt. Lett.
 Home  List of Issues    Issue 01 , Vol. 05 , 2007    A color correction algorithm for noisy multi-view images


A color correction algorithm for noisy multi-view images
Feng Shao1;2, Gangyi Jiang1, Mei Yu1, Ken Chen1
1Faculty of Information Science and Engineering, [Ningbo University], Ningbo 315211

2Department of Information and Electronics Engineering, [Zhejiang University], Hangzhou 310027

Chin. Opt. Lett., 2007, 05(01): pp.28-30-3

DOI:
Topic:Imaging systems
Keywords(OCIS Code): 110.0110  100.6890  330.1690  

Abstract
A novel color correction algorithm for noisy multi-view images is presented. The key idea is to use the improved Karhunen-Loeve (K-L) transform to obtain correction matrix that can eliminate noise effect to the fullest extent. Noise variance estimation is first performed in the algorithm. In the end, wavelet transform is applied to denoise the corrected image. Experimental results show that, compared with traditional correction method, a well-performed correction result is achieved using the proposed method, and the visual effect of the denoised corrected image is almost consistent with ideal corrected image.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Received:2006/8/10
Accepted:
Posted online:

Get Citation: Feng Shao, Gangyi Jiang, Mei Yu, Ken Chen, "A color correction algorithm for noisy multi-view images," Chin. Opt. Lett. 05(01), 28-30-3(2007)

Note: This work was supported by the National Natural Science Foundation of China (No. 60472100 and 60672073), the Natural Science Foundation of Zhejiang Province (No. Y105577), and the Key Project of Chinese Ministry of Education (No. 206059). G. Jiang is the author to whom the correspondence should be addressed, his e-mail address is jianggangyi@nbu.edu.cn or jianggangyi@126.com.



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