DocumentCode
2250484
Title
Lossless compression of multispectral images for capture and archiving
Author
Langdon, Glen G., Jr.
Author_Institution
Dept. of Comput. Eng., California Univ., Santa Cruz, CA, USA
fYear
1993
fDate
1-3 Nov 1993
Firstpage
1335
Abstract
This preliminary study reports compression gains for the predictive coding of multispectral images by using a context model that includes components from other bands. The interband component better shapes the error distributions for nontrivial compression gains. Although preliminary attempts in this study were unsuccessful, a noncausal study shows that additional gains are possible with a good causal adaptive predictor
Keywords
data compression; error statistics; image coding; information retrieval systems; causal adaptive predictor; compression gains; context model; error distributions; image archiving; image capture; interband component; lossless compression; multispectral images; predictive coding; Automata; Computer errors; Context modeling; Image coding; Multispectral imaging; Pixel; Predictive coding; Predictive models; Shape; Solid modeling; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-4120-7
Type
conf
DOI
10.1109/ACSSC.1993.342324
Filename
342324
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