Lossless compression of hyperspectral images: Look-up tables with varying degrees of confidence

State-of-the-art algorithms LUT and LAIS-LUT, proposed for lossless compression of hyperspectral images, exploit high spectral correlations in these images, and use look-up tables to perform predictions. However, there are cases where their predictions are not accurate. In this work we also use look...

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Detalles Bibliográficos
Autores principales: Acevedo, D., Ruedin, A.
Formato: CONF
Materias:
Hyperspectral images
Look up tables
Lossless compression
Hyper-spectral images
Local variations
Look up table
Scaling factors
Spectral correlation
State-of-the-art algorithms
Forecasting
Signal processing
Table lookup
Image compression
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15206149_v_n_p1314_Acevedo
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
Descripción
Sumario:State-of-the-art algorithms LUT and LAIS-LUT, proposed for lossless compression of hyperspectral images, exploit high spectral correlations in these images, and use look-up tables to perform predictions. However, there are cases where their predictions are not accurate. In this work we also use look-up tables, but give these tables different degrees of confidence, based on the local variations of the scaling factor. Our results are highly satisfactory and outperform both LUT and LAIS-LUT methods. ©2010 IEEE.

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