Statistical estimation of the structural similarity index for image quality assessment-Reference-Cited by-同舟云学术

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Statistical estimation of the structural similarity index for image quality assessment

Published:2021-11-06 Issue: Volume: Page:
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Osorio Felipe^ORCID,Vallejos Ronny,Barraza Wilson,Ojeda Silvia María,Landi Marcos Alejandro

Funder

Universidad Técnica Federico Santa María

Agencia Nacional de Investigación y Desarrollo

Advanced Center for Electrical and Electronic Engineering

Secretaría de Ciencia y Tecnología

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-021-02051-9.pdf

Reference32 articles.

1. Mittal, A., Moorthy, A.K., Bovik, A.C.: No-reference image quality assessment in the spatial domain. IEEE Trans. Image Process. 21, 4695–4708 (2012)

2. Wang, K., Yong, B., Gu, X., Xiao, P., Zhang, X.: Spectral similarity measure using frequency spectrum for hyperspectral image classification. IEEE Geosci. Remote Sens. 12, 130–134 (2015)

3. Wang, Z., Bovik, A.C.: A universal image quality index. IEEE Signal Proc. Lett. 9, 81–84 (2002)

4. Zhang, L., Zhang, L., Mou, X., ZHang, D.: FSIM: A feature similarity index for image quality assessment. IEEE Trans. Image Process. 20, 2378–2386 (2011)

5. Brunet, D., Vrscay, E.R., Wang, Z.: On the mathematical properties of the structural similarity index. IEEE Trans. Image Process. 21, 1488–1499 (2012)

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