On the pinned field image binarization for signature generation in image ownership verification method

The issue of pinned field image binarization for signature generation in the ownership verification of the protected image is investigated. The pinned field explores the texture information of the protected image and can be employed to enhance the watermark robustness. In the proposed method, four o...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2011-08, Vol.2011 (1), p.1-15, Article 44
Main Authors: Lee, Mn-Ta, Chang, Hsuan Ting
Format: Article
Language:English
Subjects:
Content authentication
Engineering
Genetic algorithm
Image pinned field
Optimization
Ownership
Ownership verification
Quantum Information Technology
Robustness
Signal,Image and Speech Processing
Signatures
Spintronics
Surface layer
Texture
Watermarking
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Summary:The issue of pinned field image binarization for signature generation in the ownership verification of the protected image is investigated. The pinned field explores the texture information of the protected image and can be employed to enhance the watermark robustness. In the proposed method, four optimization schemes are utilized to determine the threshold values for transforming the pinned field into a binary feature image, which is then utilized to generate an effective signature image. Experimental results show that the utilization of optimization schemes can significantly improve the signature robustness from the previous method (Lee and Chang, Opt. Eng. 49 (9), 097005, 2010). While considering both the watermark retrieval rate and the computation speed, the genetic algorithm is strongly recommended. In addition, compared with Chang and Lin's scheme (J. Syst. Softw. 81 (7), 1118-1129, 2008), the proposed scheme also has better performance.
ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1186/1687-6180-2011-44