No Reference Quality Assessment of Contrast-Distorted SEM Images Based on Global Features-Reference-Cited by-同舟云学术

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No Reference Quality Assessment of Contrast-Distorted SEM Images Based on Global Features

Published:2023-11-01 Issue:11 Volume:E106.D Page:1935-1938
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

XU Fengchuan¹,LI Qiaoyue¹,ZHANG Guilu¹,CHANG Yasheng¹,ZHENG Zixuan²

Affiliation:

1. School of Optical and Electronic Information, Suzhou City University

2. School of Rail Transportation, Soochow University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E106.D/11/E106.D_2023EDL8018/_pdf

Reference20 articles.

1. [1] Y. Fang, K. Ma, Z. Wang, W. Lin, Z. Fang, and G. Zhai, “No-reference quality assessment of contrast-distorted images based on natural scene statistics,” IEEE Signal Process. Lett., vol.22, no.7, pp.838-842, 2015. 10.1109/lsp.2014.2372333

2. [2] H.Z. Nafchi and M. Cheriet, “Efficient no-reference quality assessment and classification model for contrast distorted images,” IEEE Trans. Broadcast., vol.64, no.2, pp.518-523, 2018. 10.1109/tbc.2018.2818402

3. [3] K. Gu, W. Lin, G. Zhai, X. Yang, W. Zhang, and C.W. Chen, “No-reference quality metric of contrast-distorted images based on information maximization,” IEEE Trans. Cybern., vol.47, no.12, pp.4559-4565, 2017. 10.1109/tcyb.2016.2575544

4. [4] J. Wu, Z. Xia, Y. Ren, and H. Li, “No-reference quality assessment for contrast-distorted image,” Proc. of IEEE International Conference on Image Processing Theory Tools and Applications, pp.1-5, 2017. 10.1109/ipta.2016.7820968

5. [5] M.H. Khosravi and H. Hassanpour, “Blind Quality Metric for Contrast-Distorted Images Based on Eigendecomposition of Color Histograms,” IEEE Trans. Circuits Syst. Video Technol., vol.30, no.1, pp.48-58, 2020. 10.1109/tcsvt.2018.2890457

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