Development and optimization of scalable compression algorithms for Depth Maps

This thesis explores a novel scalable compression algorithm that exploits explicit edge representation within the JPEG2000 architecture: the work focuses on the development and optimization of new strategies to exploit geometry information for the compression of depth data, trying to reduce the computation time performances while preserving the quality of the reconstructed images