Perceptual data hiding exploiting between-coefficient contrast masking

S. Maranò; F. Battisti; A. Vaccari; G. Boato; M. Carli

doi:10.1117/12.770070

3 March 2008 Perceptual data hiding exploiting between-coefficient contrast masking

S. Maranò, F. Battisti, A. Vaccari, G. Boato, M. Carli

Proceedings Volume 6812, Image Processing: Algorithms and Systems VI; 68121E (2008) https://doi.org/10.1117/12.770070
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

This paper proposes a novel data hiding scheme in which a payload is embedded into the discrete cosine transform domain. The characteristics of the Human Visual System (HVS) with respect to image fruition have been exploited to adapt the strength of the embedded data and integrated in the design of a digital image watermarking system. By using an HVS-inspired image quality metric, we study the relation between the amount of data that can be embedded and the resulting perceived quality. This study allows one to increase the robustness of the watermarked image without damaging the perceived quality, or, as alternative, to reduce the impairments produced by the watermarking process given a fixed embedding strength. Experimental results show the effectiveness and the robustness of the proposed solution.

Citation Download Citation

S. Maranò, F. Battisti, A. Vaccari, G. Boato, and M. Carli "Perceptual data hiding exploiting between-coefficient contrast masking", Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 68121E (3 March 2008); https://doi.org/10.1117/12.770070

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available