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| Home > Articles > Published articles > Compression of hyperspectral scenes through integer-to-integer spectral graph transforms+ |
(Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)| Date: | 2019 |
| Abstract: | Hyperspectral images are depictions of scenes represented across many bands of the electromagnetic spectrum. The large size of these images as well as their unique structure requires the need for specialized data compression algorithms. The redundancies found between consecutive spectral components and within components themselves favor algorithms that exploit their particular structure. One novel technique with applications to hyperspectral compression is the use of spectral graph filterbanks such as the GraphBior transform, that leads to competitive results. Such existing graph based filterbank transforms do not yield integer coefficients, making them appropriate only for lossy image compression schemes. We propose here two integer-to-integer transforms that are used in the biorthogonal graph filterbanks for the purpose of the lossless compression of hyperspectral scenes. Firstly, by applying a Triangular Elementary Rectangular Matrix decomposition on GraphBior filters and secondly by adding rounding operations to the spectral graph lifting filters. We examine the merit of our contribution by testing its performance as a spatial transform on a corpus of hyperspectral images; and share our findings through a report and analysis of our results. |
| Grants: | Ministerio de Economía y Competitividad RTI2018-095287-B-I00 Ministerio de Economía y Competitividad BES-2016-078369 Ministerio de Economía y Competitividad TIN2015-71126-R Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-463 |
| Rights: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.  |
| Language: | Anglès |
| Document: | Article ; recerca ; Versió publicada |
| Subject: | Hyperspectral image coding ; Graph filterbanks ; Integer-to-integer transforms ; Graph signal processing |
| Published in: | Remote sensing (Basel), Vol. 11, issue 19 (Oct. 2019) , art. 2290, ISSN 2072-4292 |
