Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data
Author:
Affiliation:
1. National Center for Atmospheric Research, Boulder Colorado U. S. A
2. Colorado School of Mines, Golden Colorado U. S. A
3. Los Alamos National Laboratory, Los Alamos New Mexico U. S. A
Publisher
Wiley
Subject
Computer Graphics and Computer-Aided Design
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13707
Reference49 articles.
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3. BakerA. H. XuH. HammerlingD. M. LiS. ClyneJ. P.: Toward a multi‐method approach: Lossy data compression for climate simulation data. InInternational Conference on High Performance Computing(2017) Springer pp.30–42. 2 3 4 7 8 9
4. Comparison of the Farnsworth-Munsell 100-Hue, the Farnsworth D-15, and the L'Anthony D-15 Desaturated Color Tests
5. CollettD.:Modelling Binary Data Second Edition.Chapman & Hall/CRC Texts in Statistical Science. Taylor & Francis 2002. URL:https://books.google.com/books?id=3Zx_AwAAQBAJ. 7 8
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