DocumentCode
2129819
Title
Companding of spectra from spectral images for reducing noise from coarse quantization
Author
Kaarna, Arto
Author_Institution
Dept. of Inf. Technol., Lappeenranta Univ. of Technol., Finland
Volume
1
fYear
2004
fDate
20-24 Sept. 2004
Lastpage
308
Abstract
Companding is normally used in communication systems to compensate fluctuating levels in the source power. In this study we apply companding to enhance the coarse quantization of spectra. The spectra are selected from AVIRIS spectral images. Our experiments indicate that the signal-to-noise ratio (SNR) in coarser quantization of spectra may be enhanced from 5 to 9 dB using the μ-law quantization companding.
Keywords
compandors; infrared spectrometers; remote sensing; satellite communication; signal processing; visible spectrometers; μ-law quantization companding; AVIRIS spectral image; Airborne Visible Infrared Imaging Spectrometer; SNR; communication system; noise reduction; signal-to-noise ratio; source power fluctuating level compensation; spectra coarse quantization; Communication channels; Decoding; Image coding; Image reconstruction; Information technology; Noise reduction; Peak to average power ratio; Probability density function; Quantization; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1369022
Filename
1369022
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