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Prediction trees and lossless image compression

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3 Author(s)
N. D. Memon ; Nebraska Univ., Lincoln, NE, USA ; S. S. Magliveras ; K. Sayood

Prediction techniques have been applied very successfully in compression of speech data. For image data this paper employs an approach based on spanning trees to construct nonlinear predictive schemes. Images are not scanned in any predetermined fashion, nor is the prediction for any pixel based on a single fixed scheme. Preliminary implementations give promising results over a wide range of images

Published in:

Data Compression Conference, 1991. DCC '91.

Date of Conference:

8-11 Apr 1991