DocumentCode :
3047563
Title :
Robustness analysis of watermarking spectral images with PCA-SVD under various illumination conditions
Author :
Ma, Long ; Li, Changjun ; Song, Shuni ; Shi, Zelin
Author_Institution :
Shenyang Inst. of Autom., Shenyang, China
fYear :
2010
fDate :
20-23 June 2010
Firstpage :
1835
Lastpage :
1839
Abstract :
Spectral color imaging is becoming more and more important in many applications. At the same time, the problem of economic and security for spectral images are attracting a great deal of attention. Spectral color imaging allows separation of the object reflectance and illumination. In this paper, joint operation of watermarking and illumination is studied. The robustness of watermarking methods based on the PCA-SVD and pure PCA are analyzed and compared under different illumination conditions. Experiment results have been presented, which show that the method based on PCA-SVD is more robust to different illumination conditions.
Keywords :
image coding; image colour analysis; principal component analysis; singular value decomposition; watermarking; PCA-SVD; illumination condition; object reflectance; spectral color imaging; spectral image watermarking; Automation; Image analysis; Image color analysis; Image databases; Lighting; Principal component analysis; Reflectivity; Robustness; Spectral analysis; Watermarking; Illumination; PCA; PCA-SVD; spectral images; watermarkinig;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
Type :
conf
DOI :
10.1109/ICINFA.2010.5512241
Filename :
5512241
Link To Document :
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