DocumentCode
2234633
Title
Improved vector quantization for lossless compression of AVIRIS images
Author
Mielikainen, Jarno ; Toivanen, Pekka
Author_Institution
Dept. of Inf. Technol., Lappeenranta Univ. of Technol., Lappeenranta, Finland
fYear
2002
fDate
3-6 Sept. 2002
Firstpage
1
Lastpage
3
Abstract
In this paper, we present a modification to the back end of vector quantization (VQ), which improves the compression ratio of the lossless compression of multispectral images. By introducing a small change to the back end of VQ, the compression ratio improve significantly. In our expreriments, images were compressed from the original image entropies of between 10.73 and 11.55 bits/pixel to between 5.13 and 5.33 bits/pixel.
Keywords
image coding; infrared spectrometers; signal processing; vector quantisation; visible spectrometers; AVIRIS image compression; VQ back end modification; airborne visible-infrared imaging spectrometer; compressed AVIRIS image; image compression ratio; improved vector quantization; lossless compression ratio; lossless image compression; multispectral image compression; original image entropies; Abstracts; Electronic mail; Encoding; Erbium; Image coding; Sensors; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2002 11th European
Conference_Location
Toulouse
ISSN
2219-5491
Type
conf
Filename
7072032
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