Efficient image structural similarity quality assessment method using image regularised feature-Reference-Cited by-同舟云学术

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Efficient image structural similarity quality assessment method using image regularised feature

Published:2020-12 Issue:16 Volume:14 Page:4401-4411
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Li Yajing¹,Huang Baoxiang¹^ORCID,Yang Huan¹,Hou Guojia¹^ORCID,Zhang Pengfei²,Duan Jinming³

Affiliation:

1. College of Computer Science and TechnologyQingdao UniversityQingdao266071People's Republic of China

2. School of Computer ScienceUniversity of NottinghamUniversity ParkNottinghamNG7 2RDUK

3. School of Computer ScienceUniversity of BirminghamEdgbastonB15 2TTUK

Funder

Natural Science Foundation of Shandong Province

China Postdoctoral Science Foundation

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.2019.1570

Reference50 articles.

1. No‐reference image quality assessment based on gradient histogram response;Sun T.;Comput. Electr. Eng.,2016

2. Image quality assessment: A sparse learning way

3. Image Quality Assessment: From Error Visibility to Structural Similarity

4. On ambiguity of objective image quality assessment

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