An adaptive spread spectrum (SS) synchronous data hiding strategy for scalable 3D terrain visualization

K. Hayat; W. Puech; G. Gesquière

doi:10.1117/12.811209

20 January 2009 An adaptive spread spectrum (SS) synchronous data hiding strategy for scalable 3D terrain visualization

K. Hayat, W. Puech, G. Gesquière

Proceedings Volume 7243, Visualization and Data Analysis 2009; 724308 (2009) https://doi.org/10.1117/12.811209
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

The diversity of clients in today's network environment compels us to think about solutions that more than satisfy their needs according to their resources. For 3D terrain visualization this translates into two main requirements, namely the scalability and synchronous unification of a disparate data that requires at least two files, the texture image and its corresponding digital elevation model (DEM). In this work the scalability is achieved through the multiresolution discrete wavelet transform (DWT) of the JPEG2000 codec. For the unification of data, a simple DWT-domain spread spectrum (SS) strategy is employed in order to synchronously hide the DEM in the corresponding texture while conserving the JPEG2000 standard file format. Highest possible quality texture is renderable due to the reversible nature of the SS data hiding. As far as DEM quality is concerned, it is ensured through the adaptation of synchronization in embedding that would exclude some highest frequency subbands. To estimate the maximum tolerable error in the DEM according to a given viewpoint, a human visual system (HVS) based psycho-visual analysis is being presented. This analysis is helpful in determining the degree of adaptation in synchronization.

Citation Download Citation

K. Hayat, W. Puech, and G. Gesquière "An adaptive spread spectrum (SS) synchronous data hiding strategy for scalable 3D terrain visualization", Proc. SPIE 7243, Visualization and Data Analysis 2009, 724308 (20 January 2009); https://doi.org/10.1117/12.811209

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