Title :
Lossy to lossless SPIHT-based volumetric image compression
Author :
Ginesu, Giaime ; Giusto, Daniele D. ; Pearlman, William A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
Abstract :
A new coding scheme for lossy to lossless compression of volumetric data using a three-dimensional packet wavelet transform is presented. The need of a unitary transform via the integer lifting scheme and the performance comparison of different integer filter kernels is discussed. A state-of-the-art coder, set partitioning in hierarchical trees (SPIHT), is considered and modified in order to adapt its tree-structure to the 3D packet wavelet structure defined. The algorithm is extensively tested and shows very good performance, both for lossy and lossless coding.
Keywords :
data compression; image coding; set theory; transform coding; trees (mathematics); wavelet transforms; 3D packet wavelet transform; SPIHT-based image compression; image coding; integer filter kernels; integer lifting scheme; lossy to lossless compression; set partitioning in hierarchical trees; three-dimensional packet wavelet transform; unitary transform; volumetric image compression; Biomedical imaging; Discrete wavelet transforms; Filters; Image coding; Kernel; Signal processing algorithms; Testing; Visualization; Wavelet packets; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326639