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Proceedings Paper

Dynamically Differenced Rectangles For Reversible Image Data Compression
Author(s): Gerardus S. Plattel; Kevin Bowyer
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Paper Abstract

The goal of this work is to develop better reversible data compression techniques for image data. A variety of known standard techniques (Run length, Huffman, Arithmetic, Contour tracing and Rectangles) are compared with two new hybrid techniques (Dynamically differenced contours and Dynamically differenced rectangles). The comparison includes the degree of data compression and the encode/decode times for 256 by 256 eight-bit per pixel grayscale images. Results indicate that the 'Dynamically differenced rectangles' technique generally gives the greatest degree of data compression, and also has favorable encode/decode times.

Paper Details

Date Published: 18 July 1988
PDF: 6 pages
Proc. SPIE 0939, Hybrid Image and Signal Processing, (18 July 1988); doi: 10.1117/12.947051
Show Author Affiliations
Gerardus S. Plattel, University of South Florida (United States)
Kevin Bowyer, University of South Florida (United States)

Published in SPIE Proceedings Vol. 0939:
Hybrid Image and Signal Processing
David P. Casasent; Andrew G. Tescher, Editor(s)

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