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LCT-wavelet based algorithms for data compression Amir Z. Averbuch1
 

Summary: LCT-wavelet based algorithms for data compression
Amir Z. Averbuch1
, Valery A. Zheludev1
, Moshe Guttmann1
, Dan D. Kosloff2
1
School of Computer Science
Tel Aviv University, Tel Aviv 69978, Israel
2
Department of Earth and Planetary Sciences
Tel Aviv University, Tel Aviv 69978, Israel
Abstract
We present an algorithm that compresses two-dimensional data arrays, which are piece-wise
smooth in one direction and have oscillatory events in the other direction. Seismic and hyper-
spectral data have this mixed structure. The transform part of the compression process is an
algorithm that combines wavelet with the local cosine transform (LCT). The quantization and the
entropy coding parts in the compression process were taken from SPIHT codec but it can be taken
from any multiresolution based codec such as EZW. To efficiently apply the SPIHT codec to a
mixed coeeficients array, reordering of the LCT coefficients takes place. When oscillating events
are present in different directions as in fingerprints or when the image comprises a fine texture,

  

Source: Averbuch, Amir - School of Computer Science, Tel Aviv University

 

Collections: Computer Technologies and Information Sciences