NRspttemVQA: Real-Time Video Quality Assessment Based on the User’s Visual Perception
Author:
Affiliation:
1. The University of Waikato
2. Moscow Technical University of Communications and Informatics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10343468/10343547/10343863.pdf?arnumber=10343863
Reference41 articles.
1. Full reference objective metric for assessing video quality compatible with PSNR taking into account frequency and peripheral characteristics of human vision;Mozhaeva;Digital Signal Processing Application Considerations,2021
2. Full Reference Video Quality Assessment Metric on Base Human Visual System Consistent with PSNR
3. Seven challenges for image quality research
4. FovVideoVDP
5. Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
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