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3D Facial Visualization Through Adaptive Spread Spectrum Synchronous Scalable (A4S) Data Hiding

Khizar Hayat 1 William Puech 1 Gilles Gesquière 2 Gérard Subsol 1
1 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : An adaptive spread spectrum synchronous scalable(A4S) data hiding strategy is being put forward to integrate the disparate 3D facial visualization data, into a single JPEG2000 format file with the aim to cater diverse clients in various bandwidth scenarios. The method is both robust and imperceptible in the sense that the robustness of the spread spectrum (SS) is coupled with the removable embedding that ensures highest possible visualization quality. The SS embedding of the DWT-domain 2.5D facial model is carried out in the transform domain YCrCb components, of the 2D texture, from the coding stream of JPEG2000 codec just after the DWT stage. High depth map quality is ensured through the adaptation of synchronization during embedding that would exclude some highest frequency subbands. The results show that the method can be exploited for video-surveillance and video-conference applications.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00416224
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Submitted on : Sunday, September 13, 2009 - 10:46:01 PM
Last modification on : Monday, March 30, 2020 - 8:42:14 AM
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Khizar Hayat, William Puech, Gilles Gesquière, Gérard Subsol. 3D Facial Visualization Through Adaptive Spread Spectrum Synchronous Scalable (A4S) Data Hiding. ICIP: International Conference on Image Processing, Nov 2009, Cairo, Egypt. pp.2473-2476, ⟨10.1109/ICIP.2009.5413953⟩. ⟨lirmm-00416224⟩

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