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2005
IEEE

Multispectral loss-less compression using approximation methods

9 years 7 months ago
Multispectral loss-less compression using approximation methods
— 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. Keywords – multispectral imaging; multispectral compression; loss-less compression
Paolo Pellegri, Gianluca Novati, Raimondo Schettin
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICIP
Authors Paolo Pellegri, Gianluca Novati, Raimondo Schettini
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