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MvSSIM: A Quality Assessment Index for Hyperspectral Images

Zhu, R; Zhou, F; Xue, J-H; (2018) MvSSIM: A Quality Assessment Index for Hyperspectral Images. Neurocomputing , 272 pp. 250-257. 10.1016/j.neucom.2017.06.073. Green open access

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Abstract

Quality assessment indexes play a fundamental role in the analysis of hyperspectral image (HSI) cubes. To assess the quality of an HSI cube, the structural similarity (SSIM) index has been widely applied in a band-by-band manner, as SSIM was originally designed for 2D images, and then the mean SSIM (MeanSSIM) index over all bands is adopted. MeanSSIM fails to accommodate the spectral structure which is a unique characteristic of HSI. Hence in this paper, we propose a new and simple multivariate SSIM (MvSSIM) index for HSI, by treating the pixel spectrum as a multivariate random vector. MvSSIM maintains SSIM’s ability to assess the spatial structural similarity via correlation between two images of the same band; and adds an ability to assess the spectral structural similarity via covariance among different bands. MvSSIM is well founded on multivariate statistics and can be easily implemented through simple sample statistics involving mean vectors, covariance matrices and cross-covariance matrices. Experiments show that MvSSIM is a proper quality assessment index for distorted HSIs with different kinds of degradations.

Type: Article
Title: MvSSIM: A Quality Assessment Index for Hyperspectral Images
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neucom.2017.06.073
Publisher version: https://doi.org/10.1016/j.neucom.2017.06.073
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Hyperspectral imagesQuality assessmentStructural similarity (SSIM)Spectral structureSpatial structure
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: http://discovery.ucl.ac.uk/id/eprint/1565595
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