Improved prediction for lossless compression of multispectral images

James M. Spring; Glen G. Langdon Jr.

doi:10.1117/12.270041

4 April 1997 Improved prediction for lossless compression of multispectral images

James M. Spring, Glen G. Langdon Jr.

Proceedings Volume 3025, Very High Resolution and Quality Imaging II; (1997) https://doi.org/10.1117/12.270041
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

We study the use of spectral deltas for lossless multispectral image compression. Spectral deltas are differences between prediction errors. When bands are correlated, the prediction errors between the two bands are similar, thus the difference results in a smaller value. Building upon earlier work, we examine methods of detecting correlations and harnessing current advances in lossless still image compression. THe result is an algorithm that works well over a broad set of test images.

Citation Download Citation

James M. Spring and Glen G. Langdon Jr. "Improved prediction for lossless compression of multispectral images", Proc. SPIE 3025, Very High Resolution and Quality Imaging II, (4 April 1997); https://doi.org/10.1117/12.270041

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