On contrast-preserving visualisation of multispectral datasets

Authors:
Valeriy Sokolov;Dmitry Nikolaev;Simon Karpenko;Gerald Schaefer
Affiliations:
Institute for Information Transmission Problems, Kharkevich Institute, Russian Academy of Sciences, Moscow, Russia;Institute for Information Transmission Problems, Kharkevich Institute, Russian Academy of Sciences, Moscow, Russia;Institute for Information Transmission Problems, Kharkevich Institute, Russian Academy of Sciences, Moscow, Russia;Department of Computer Science, Loughborough University, Loughborough, UK
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Year:
2010

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Abstract

Multispectral datasets are becoming increasingly common. Consequently, effective techniques to deal with this kind of data are highly sought after. In this paper, we consider the problem of joint visualisation of multispectral datasets. Several improvements to existing methods are suggested leading to a new visualisation algorithm. The proposed algorithm also produces colour images, compared to grayscale images obtained through previous methods.