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Digital Image Watermarking Scheme Using DWT-SVD Domain


Affiliations
1 Dept. of Computer Science, Government Arts College, Udumalpet, India
2 Dept of CSE, National Engineering College, Kovilpatti-628502, India
     

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Information transfer by hiding the data into a host image is a remarkable technique known by the name Digital watermarking. Digital watermarking can be functional to an assortment of fields like text, image, audio, video and software. Bundle of tools has been recognized in order to duplicate and transform the multimedia data. Consequently security is mainly an important argument that requires some mechanism to save from harm the digital multimedia data. In order to look after those multimedia data on the Internet numerous techniques are accessible including a variety of encryption techniques, steganography techniques, watermarking techniques and information hiding techniques. Digital watermarking is a technique in which one can hide the data or information in another object (cover data) and transfers it over the network. The data hiding is able to take place moreover in spatial domain or in frequency domain. This paper proposes a non-blind watermarking scheme in which the original image is decomposed into four frequency bands. The DWT coefficients in these frequency bands are then personalized in order to hide the watermark data. SVD is competent of resourcefully representing the intrinsic algebraic properties of an image, where singular values keep up a correspondence to the brightness of the image and singular vectors reflect geometry characteristics of the image. Therefore in this approach the robustness can be achieved by DWT, stability of watermark image is increased by SVD, and imperceptibility is ensured by the use of enhanced DWT domain human visual model. The performance comparison of the algorithms among the first three levels of frequency band decomposition is taken into account on order to investigate the efficiency of the proposed approach.

Keywords

Discrete Wavelet Transformation (DWT), Digital Image Watermarking, Human Visual Model, Imperceptibility, Singular Value Decomposition (SVD).
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  • Digital Image Watermarking Scheme Using DWT-SVD Domain

Abstract Views: 191  |  PDF Views: 2

Authors

M. Devapriya
Dept. of Computer Science, Government Arts College, Udumalpet, India
K. Ramar
Dept of CSE, National Engineering College, Kovilpatti-628502, India

Abstract


Information transfer by hiding the data into a host image is a remarkable technique known by the name Digital watermarking. Digital watermarking can be functional to an assortment of fields like text, image, audio, video and software. Bundle of tools has been recognized in order to duplicate and transform the multimedia data. Consequently security is mainly an important argument that requires some mechanism to save from harm the digital multimedia data. In order to look after those multimedia data on the Internet numerous techniques are accessible including a variety of encryption techniques, steganography techniques, watermarking techniques and information hiding techniques. Digital watermarking is a technique in which one can hide the data or information in another object (cover data) and transfers it over the network. The data hiding is able to take place moreover in spatial domain or in frequency domain. This paper proposes a non-blind watermarking scheme in which the original image is decomposed into four frequency bands. The DWT coefficients in these frequency bands are then personalized in order to hide the watermark data. SVD is competent of resourcefully representing the intrinsic algebraic properties of an image, where singular values keep up a correspondence to the brightness of the image and singular vectors reflect geometry characteristics of the image. Therefore in this approach the robustness can be achieved by DWT, stability of watermark image is increased by SVD, and imperceptibility is ensured by the use of enhanced DWT domain human visual model. The performance comparison of the algorithms among the first three levels of frequency band decomposition is taken into account on order to investigate the efficiency of the proposed approach.

Keywords


Discrete Wavelet Transformation (DWT), Digital Image Watermarking, Human Visual Model, Imperceptibility, Singular Value Decomposition (SVD).