A Dataset and Model for the Visual Quality Assessment of Inversely Tone-Mapped HDR Videos-Reference-Cited by-同舟云学术

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A Dataset and Model for the Visual Quality Assessment of Inversely Tone-Mapped HDR Videos

Published:2024 Issue: Volume:33 Page:366-381
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhou Fei¹^ORCID,Yuan Shuhong²,Liang Zhijie¹^ORCID,Duan Jiang³^ORCID,Qiu Guoping¹^ORCID

Affiliation:

1. College of Electronic and Information Engineering, Shenzhen University, Shenzhen, China

2. Dolby (Shenzhen) Technology Service Company Ltd., Shenzhen, China

3. College of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu, China

Funder

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Shenzhen Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10367823.pdf?arnumber=10367823

Reference73 articles.

1. Extending quality metrics to full luminance range images

2. Contrast Sensitivity of the Human Eye and Its Effects on Image Quality

3. The Konstanz natural video database (KoNViD-1k)

4. VideoSet: A large-scale compressed video quality dataset based on JND measurement

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Dataset and Model for the Visual Quality Assessment of Inversely Tone-Mapped HDR Videos;IEEE Transactions on Image Processing;2024

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