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Proceedings Paper

Lossless JPEG compression of remote sensing imagery
Author(s): Anthony John Maeder
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Paper Abstract

Applications using remote sensing imagery rely on very high accuracy of the pixel data values. This requirement necessitates use of lossless or near-lossless compression techniques during storage. These techniques tend to provide rather limited compression rates of between 2:1 and 3:1. An approach for improving the compression rates of lossless mode JPEG based on contextual choice of the current pixel predictor is presented. Tests on a range of remote sensing images demonstrate the promise in this approach.

Paper Details

Date Published: 21 November 1995
PDF: 11 pages
Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); doi: 10.1117/12.227237
Show Author Affiliations
Anthony John Maeder, Queensland Univ. of Technology (Australia)

Published in SPIE Proceedings Vol. 2606:
Digital Image Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

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