Scalable three-dimensional SBHP algorithm with region of interest access and low complexity

Ying Liu; William A. Pearlman

doi:10.1117/12.684410

24 August 2006 Scalable three-dimensional SBHP algorithm with region of interest access and low complexity

Ying Liu, William A. Pearlman

Proceedings Volume 6312, Applications of Digital Image Processing XXIX; 631209 (2006) https://doi.org/10.1117/12.684410
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

A low-complexity three-dimensional image compression algorithm based on wavelet transforms and set-partitioning strategy is presented. The Subband Block Hierarchial Partitioning (SBHP) algorithm is modified and extended to three dimensions, and applied to every code block independently. The resultant algorithm, 3D-SBHP, efficiently encodes 3D image data by the exploitation of the dependencies in all dimensions, while enabling progressive SNR and resolution decompression and Region-of-Interest (ROI) access from the same bit stream. The code-block selection method by which random access decoding can be achieved is outlined.The resolution scalable and random access performances are empirically investigated. The results show 3D-SBHP is a good candidate to compress 3D image data sets for multimedia applications.

Citation Download Citation

Ying Liu and William A. Pearlman "Scalable three-dimensional SBHP algorithm with region of interest access and low complexity", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 631209 (24 August 2006); https://doi.org/10.1117/12.684410

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