Robustness analysis of watermarking spectral images with PCA-SVD under various illumination conditions

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, jo...

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Bibliographic Details
Main Authors: Long Ma, Changjun Li, Shuni Song, Zelin Shi
Format: Conference Proceeding
Language:English
Subjects:
Automation
Illumination
Image analysis
Image color analysis
Image databases
Lighting
PCA
PCA-SVD
Principal component analysis
Reflectivity
Robustness
Spectral analysis
spectral images
Watermarking
watermarkinig
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Summary: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.
DOI:10.1109/ICINFA.2010.5512241