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Paper data
Improved Vector Quantization for Lossless Compression of AVIRIS Images

Mielikainen Jarno, Lappeenranta University of Technology
Toivanen Pekka, Lappeenranta University of Technology

Page numbers in the proceedings:
Volume II pp 495-497

Video Coding and Processing

Paper abstract
In this paper, we present a modification to the back end of vector quantization (VQ), which improves the compression ratio of the lossless compression of multispectral images. By introducing a small change to the back end of VQ, the compression ratio improve significantly. In our expreriments, images were compressed from the original image entropies of between 10.73 and 11.55 bits/pixel to between 5.13 and 5.33 bits/pixel.

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