Data Compression Conference (dcc 2008) March 25-March 27 ISBN: 978-0-7695-3121-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2008.20
For efficient storage and transmission of volumetric data, compression algorithms are imperative. Three dimensional discrete wavelet transform (3D-DWT) shows its advantages in the volumetric data compression for its perfect reconstruction and its lack of blocking artifact. In this paper, a novel three dimensional combinational lifting algorithm (3D-CLA) using 9/7 filter that calculates the 3D-DWT directly is proposed. The algorithm achieves one level decomposition through five stages, which have similar and regular structure. The algorithm can be implemented in-place for efficient use of memory, and can save more than 44% of the total number of multiplication than conventional approaches
Index Terms:
multilinear algebra, SCLA, 3D-DWT
Citation:
Lu Dai, Li Zhang, Xiaolin Zhao, "A Three Dimensional Combinative Lifting Algorithm for Wavelet Transform Using 9/7 Filter," dcc, pp.510, Data Compression Conference (dcc 2008), 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||