An Adaptive Spread Spectrum (SS) Synchronous Data Hiding Strategy for Scalable 3D Terrain Visualization - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2009

An Adaptive Spread Spectrum (SS) Synchronous Data Hiding Strategy for Scalable 3D Terrain Visualization

Khizar Hayat
  • Function : Author
  • PersonId : 940846
William Puech

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.
Fichier principal
Vignette du fichier
article_spie_final.pdf (11.36 Mo) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

lirmm-00416003 , version 1 (11-09-2009)

Identifiers

Cite

Khizar Hayat, William Puech, Gilles Gesquière. An Adaptive Spread Spectrum (SS) Synchronous Data Hiding Strategy for Scalable 3D Terrain Visualization. Electronic Imaging, Jan 2009, San Jose, CA, United States. pp.724308, ⟨10.1117/12.811209⟩. ⟨lirmm-00416003⟩
261 View
448 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More