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Imperceptible data embedding in sharply-contrasted binary images

Ho, Anthony T. S., Puhan, Niladri B., Makur, A., Marziliano, Pina and Guan, Y. L. (2004) Imperceptible data embedding in sharply-contrasted binary images In: ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..

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Abstract

Data embedding in sharply-contrasted binary images like text, drawing, signature and cartoon is a challenging issue due to simple pixel statistics in such images. Arbitrary modification to the pixels can be visually perceptible in the process of data embedding. The use of a valid perceptual model is important to minimize the effect of such visual distortion in binary images. In this paper, a novel perceptual model is used to embed significant amount of information such that the original and the marked images before and after data embedding process are perceptually similar. In our model, the distortion that occurs after flipping a pixel is estimated on the curvature-weighted distance difference (CWDD) measure between two contour segments.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: This article was published when Anthony T. S. Ho was at Nanyang Technological University, Singapore. In ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004. , Vol. 2, pp. 958- 963 .© 2004 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.
Divisions: Faculty of Engineering and Physical Sciences > Computing Science
Depositing User: Mr Adam Field
Date Deposited: 27 May 2010 14:45
Last Modified: 23 Sep 2013 18:35
URI: http://epubs.surrey.ac.uk/id/eprint/1872

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