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
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;
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse
