CNN Based No‐Reference HDR Image Quality Assessment-Reference-Cited by-同舟云学术

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CNN Based No‐Reference HDR Image Quality Assessment

Published:2021-03 Issue:2 Volume:30 Page:282-288
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chin. j. electron.

Author:

Kefeng Fan¹²,Jiyun Liang¹²,Fei Li³,Puye Qiu¹

Affiliation:

1. Digital Technology Research CenterChina Electronics Standardization InstituteBeijing100007China

2. School of Electronic Engineering and AutomationGuilin University of Electronic TechnologyGuilin541004China

3. Guangzhou SequoiaDB Co.Guangzhou510006China

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2021.01.008

Reference16 articles.

1. High Dynamic Range Imaging Technology [Lecture Notes]

2. Blind Quality Assessment of Tone-Mapped Images Considering Colorfulness, Naturalness, and Structure

3. M.Zhao L.Shen M.Jiang et al. “A novel no‐reference quality assessment model of tone‐mapped HDR image” 2019 IEEE International Conference on Image Processing (ICIP) Taipei China pp.3202—3206 2019.

4. Image Signature Based Mean Square Error for Image Quality Assessment

5. “Blind image quality assessment with complementary color wavelet transform”;Yang CHEN;Acta Electronica Sinica,2019

Cited by 4 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. Blind Image Quality Evaluation Method Based on Cyclic Generative Adversarial Network;IEEE Access;2024

2. No Reference Image Sharpness Assessment Based on Global Color Difference Variation;Chinese Journal of Electronics;2024-01

3. Hyperspectral Image Super-Resolution Based on Spatial-Spectral Feature Extraction Network;Chinese Journal of Electronics;2023-05

4. Feature Sampling based on Multilayer Perceptive Neural Network for image quality assessment;Engineering Applications of Artificial Intelligence;2023-05

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