Learning from mixed datasets: A monotonic image quality assessment model-Reference-Cited by-同舟云学术

Learning from mixed datasets: A monotonic image quality assessment model

Published:2023-01-26 Issue:3 Volume:59 Page:
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electronics Letters

Author:

Feng Zhaopeng¹^ORCID,Zhang Keyang²,Jia Shuyue³,Chen Baoliang³,Wang Shiqi³^ORCID

Affiliation:

1. School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China

2. Department of Electrical Engineering City University of Hong Kong Hong Kong Hong Kong SAR

3. Department of Computer Science City University of Hong Kong Hong Kong Hong Kong SAR

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ell2.12698

Reference38 articles.

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

3. Wang Z. Simoncelli E.P. Bovik A.C.:Multiscale structural similarity for image quality assessment. In:IEEE Asilomar Conference on Signals Systems and Computers vol. 2 pp.1398–1402.IEEE Piscataway NJ(2003)

4. Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

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