Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data

Applying lossy data compression to climate model output is an attractive means of reducing the enormous volumes of data generated by climate models. However, because lossy data compression does not exactly preserve the original data, its application to scientific data must be done judiciously. To th...

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Bibliographic Details

Published in:	Computer graphics forum Vol. 38; no. 3; pp. 517 - 528
Main Authors:	Baker, A. H., Hammerling, D. M., Turton, T. L.
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.06.2019
Subjects:	Categories and Subject Descriptors (according to ACM CCS) Climate models Compression tests Computer simulation Data compression data compression, scientific visualization, climate science, visual evaluation E.4 [Coding and Information Theory]: Data Compaction and Compression H.1.2 [User/Machine Systems]: Human factors I.5.2 [Design Methodology]: Feature evaluation Image compression Image quality Quality assessment Scientific visualization Software reviews Statistical models
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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