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Digital image-in-image watermarking for copyright protection of satellite images using the fast Hadamard transform

Ho, Anthony T. S., Shen, Jun, Tan, Soon Hie and Kot, Alex C. (2002) Digital image-in-image watermarking for copyright protection of satellite images using the fast Hadamard transform In: IEEE International Geoscience and Remote Sensing Symposium.


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In this paper, a robust and efficient digital image watermarking algorithm using the fast Hadamard transform (FFIT) is proposed for the copyright protection of satellite 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 satellite image. The performance of the proposed algorithm is evaluated using a benchmarking tool called Stirmark. Results show that this algorithm is very robust and can survive up to 60% of all Stirmark attacks. These attacks were tested on a number of satellite test images of size 512/spl times/512/spl times/8 bit, 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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Ho, Anthony T.
Date : 24 June 2002
Identification Number : 10.1109/IGARSS.2002.1027166
Additional Information : 2002 IEEE International Geoscience and Remote Sensing Symposium, 2002 (IGARSS '02), Vol. 6, pp. 3311- 3313 .© 2002 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 : 31 Oct 2017 14:03

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