Hybrid NSS features for no‐reference image quality assessment-Reference-Cited by-同舟云学术

Hybrid NSS features for no‐reference image quality assessment

Published:2017-05-18 Issue:6 Volume:11 Page:443-449
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Qin Min¹,Lv Xiaoxin¹,Chen Xiaohui²,Wang Weidong¹

Affiliation:

1. Department of Electronic Engineering and Information ScienceUniversity of Science and Technology of ChinaHefeiPeople's Republic of China

2. Key Laboratory of Wireless‐Optical CommunicationsUniversity of Science and Technology of ChinaHefeiPeople's Republic 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.2016.0411

Reference31 articles.

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2. Most apparent distortion: full-reference image quality assessment and the role of strategy

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4. No-reference image quality assessment in curvelet domain

5. No‐reference image quality assessment in contourlet domain;Lu W.;Neurocomputing,2010

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