R2-B2: A Metric of Synthesized Image’s Photorealism by Regression Analysis based on Recognized Objects’ Bounding Box-Reference-Cited by-同舟云学术

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R2-B2: A Metric of Synthesized Image’s Photorealism by Regression Analysis based on Recognized Objects’ Bounding Box

Published:2022-11-29 Issue: Volume: Page:
ISSN:
Container-title:2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
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Author:

Hattori Shun¹,Aiba Kizuku²,Takahara Madoka³

Affiliation:

1. The University of Shiga Prefecture,Faculty of Advanced Engineering,Hikone-shi,Japan

2. Muroran Institute of Technology,Graduate School of Science and Engineering,Muroran-shi,Japan

3. Ryukoku University,Faculty of Advanced Science and Technology,Otsu-shi,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10001867/10001868/10001857.pdf?arnumber=10001857

Reference40 articles.

1. Full reference and reduced reference metrics for image quality assessment

2. cv::quality Namespace Reference,2022

3. Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems

4. No-Reference Image Quality Assessment in the Spatial Domain

5. Reduced- and No-Reference Image Quality Assessment

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