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Robust digital image-in-image watermarking algorithm using the fast Hadamard transform

Ho, Anthony T. S., Shen, Jun, Chow, Andrew K. K. and Woon, Jerry (2003) Robust digital image-in-image watermarking algorithm using the fast Hadamard transform


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In this paper, a robust and efficient digital image watermarking algorithm using the fast Hadamard transform (FHT) is proposed for the copyright protection of digital images. This algorithm can embed or hide an entire image or pattern as a watermark such as a company's logo or trademark directly into the original image. The performance of the proposed algorithm is evaluated using Stirmark 3.1 that consists of 90 different types of image attacks. Results show that this algorithm is very robust and can survive most of the Stirmark attacks. These attacks were tested on a number of test images of size 512/spl times/512/spl times/8 bits, embedded with a watermark image of size 64/spl times/64/spl times/8 bits. The simplicity of the fast Hadamard transform also offers a significant advantage in shorter processing time and ease of hardware implementation than other orthogonal transforms, such as the discrete cosine transform and wavelet transform.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Ho, Anthony T.
Shen, Jun
Chow, Andrew K. K.
Woon, Jerry
Date : 25 May 2003
Additional Information : In Proceedings of the 2003 International Symposium on Circuits and Systems, 2003 (ISCAS '03), Vol. 3, pp. III-826 - III-829.© 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This article was published when Anthony T. S. Ho was at Nanyang Technological University, Singapore.
Depositing User : Mr Adam Field
Date Deposited : 27 May 2010 14:45
Last Modified : 16 Jan 2019 16:23

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