Adaptively synchronous scalable spread spectrum (A4S) data-hiding strategy for three-dimensional visualization

bstract. We propose an adaptively synchronous scalable spread pectrum (A4S) data-hiding strategy to integrate disparate data, eeded for a typical 3-D visualization, into a single JPEG2000 forat file. JPEG2000 encoding provides a standard format on one and and the needed multiresolution for scalability on the other. The ethod has the potential of being imperceptible and robust at the ame time. While the spread spectrum (SS) methods are known for he high robustness they offer, our data-hiding strategy is removable t the same time, which ensures highest possible visualization qualty. The SS embedding of the discrete wavelet transform (DWT)omain depth map is carried out in transform domain YCrCb comonents from the JPEG2000 coding stream just after the DWT tage. To maintain synchronization, the embedding is carried out hile taking into account the correspondence of subbands. Since ecurity is not the immediate concern, we are at liberty with the trength of embedding. This permits us to increase the robustness nd bring the reversibility of our method. To estimate the maximum olerable error in the depth map according to a given viewpoint, a uman visual system (HVS)-based psychovisual analysis is also resented. © 2010 SPIE and IS&T. DOI: 10.1117/1.3427159