Abstract
Multicomponent sensors are more and more developed since they allow to measure simultaneously several parameters. Thus, new kind of processing have been developed for some years. In this paper, we are particularly concerned with tensor signal processing for noise removal in multidimensional images. We adapt a PARAFAC based method to remove noise from multidimensional images. Some results on hyperspectral images and comparisons with a TUCKER3 based method are given.
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Joyeux, F., Letexier, D., Bourennane, S., Blanc-Talon, J. (2008). Multidimensional Noise Removal Method Based on PARAFAC Decomposition. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_42
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DOI: https://doi.org/10.1007/978-3-540-88458-3_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88457-6
Online ISBN: 978-3-540-88458-3
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