Image quality assessment via spatial‐transformed domains multi‐feature fusion
Author:
Affiliation:
1. Faculty of Printing, Packaging Engineering and Digital Media TechnologyXi'an University of TechnologyXi'an710048People's Republic of China
2. Key Lab of Printing and Packaging Engineering of Shanxi ProvinceXi'an710048People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.6417
Reference44 articles.
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4. 2003 Proc. 37th Asilomar Conf. Signals Systems Computers Pacific Grove CA USA Z. Wang E.P. Simoncelli A.C. Bovik Multiscale structural similarity for image quality assessment 1398 1402
5. Information Content Weighting for Perceptual Image Quality Assessment
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