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

Summary: An 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 and the local cosine transform (LCT). The quantization and the
entropy coding parts in the compression process were taken from the SPIHT codec. To efficiently
apply the SPIHT codec to a mixed coefficients 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, the 2D LCT with reordering of coefficients is applied. These algorithms

  

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

 

Collections: Computer Technologies and Information Sciences