The large size of multispectral data files is currently a major issue in multispectral imaging. The transmission of multispectral data over networks, as well as the storage of large archives, are strongly limited, so that a clear need for good compression methods arises. In this paper, we explore the possibility of loss-less compression for multispectral data through a number of approximation methods that operate on the spectral domain. To evaluate the performance of these methods, we apply them to a representative spectra database, and consider the corresponding decrease In Information entropy as well as the classical file size ratio

Pellegri, P., Novati, G., Schettini, R. (2005). Multispectral loss-less compression using approximation methods. In 2005 International Conference on Image Processing (ICIP), Vols 1-5 (pp.638-641) [10.1109/ICIP.2005.1530136].

Multispectral loss-less compression using approximation methods

Schettini, R
2005

Abstract

The large size of multispectral data files is currently a major issue in multispectral imaging. The transmission of multispectral data over networks, as well as the storage of large archives, are strongly limited, so that a clear need for good compression methods arises. In this paper, we explore the possibility of loss-less compression for multispectral data through a number of approximation methods that operate on the spectral domain. To evaluate the performance of these methods, we apply them to a representative spectra database, and consider the corresponding decrease In Information entropy as well as the classical file size ratio
paper
multispectral image compression, approximation methods
English
IEEE International Conference on Image Processing 2005, ICIP 2005
2005
2005 International Conference on Image Processing (ICIP), Vols 1-5
9780780391345
2005
2
638
641
1530136
none
Pellegri, P., Novati, G., Schettini, R. (2005). Multispectral loss-less compression using approximation methods. In 2005 International Conference on Image Processing (ICIP), Vols 1-5 (pp.638-641) [10.1109/ICIP.2005.1530136].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/14058
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