Companding of Spectra from Spectral Images for Reducing Noise from Coarse Quantization

摘要

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.