An adaptive watermarking scheme for e-government document images

This paper proposes an adaptive watermarking scheme for e-government document images. The adaptive scheme combines the discrete cosine transform (DCT) and the singular value decomposition (SVD) using luminance masking. As a core of masking model in the human visual system (HVS), luminance masking is...

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Bibliographic Details
Published in:Multimedia tools and applications 2014-10, Vol.72 (3), p.3085-3103
Main Authors: Horng, Shi-Jinn, Rosiyadi, Didi, Fan, Pingzhi, Wang, Xian, Khan, Muhammad Khurram
Format: Article
Language:English
Subjects:
Access control
Applied sciences
Artificial intelligence
Biological and medical sciences
Computer Communication Networks
Computer Science
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Data Structures and Information Theory
Decomposition
Digital watermarks
Electronic documents
Electronic government
Exact sciences and technology
Eye and associated structures. Visual pathways and centers. Vision
Fundamental and applied biological sciences. Psychology
Genetic algorithms
Image coding
Luminance
Masking
Masks
Mathematical models
Memory and file management (including protection and security)
Memory organisation. Data processing
Multimedia
Multimedia communications
Multimedia Information Systems
Noise
Pattern recognition. Digital image processing. Computational geometry
Performance evaluation
Sensors
Software
Special Purpose and Application-Based Systems
Spread spectrum
Studies
Vertebrates: nervous system and sense organs
Watermarking
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Summary:This paper proposes an adaptive watermarking scheme for e-government document images. The adaptive scheme combines the discrete cosine transform (DCT) and the singular value decomposition (SVD) using luminance masking. As a core of masking model in the human visual system (HVS), luminance masking is implemented to improve noise sensitivity. Genetic algorithm (GA), subsequently, is employed for the optimization of the scaling factor of the masking. Involving a number of steps, the scheme proposed through this study begins by calculating the mask of the host image using luminance masking. It is then continued by transforming the mask on each area into all frequencies domain. The watermark image, following this, is embedded by modifying the singular values of DCT-transformed host image with singular values of mask coefficient of host image and the control parameter of DCT-transformed watermark image using Genetic Algorithm (GA). The use of both the singular values and the control parameter respectively, in this case, is not only to improve the sensitivity of the watermark performance but also to avoid the false positive problem. The watermark image, afterwards, is extracted from the distorted images. The experiment results show the improved adaptive performance of the proposed scheme is in resistant to several types of attacks in comparison with the previous schemes; the adaptive performance refers to the adaptive parameter of the luminance masking functioned to improve the performance or robustness of an image from any attacks.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-013-1579-5