No-Reference Image Quality Assessment based on Quality Awareness Feature and Multi-task Training-Reference-Cited by-同舟云学术

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No-Reference Image Quality Assessment based on Quality Awareness Feature and Multi-task Training

Published:2022-06-30 Issue:2 Volume:9 Page:75-86
ISSN:2383-7632
Container-title:Journal of Multimedia Information System
language:en
Short-container-title:J Multimed Inf Syst

Author:

Lai Lijing,Chu Jun,Leng Lu

Funder

National Natural Science Foundation of China

Technology Innovation Guidance Project of Jiangxi Province, China

Nanchang Hangkong University

Publisher

Korea Multimedia Society - English Version Journal

Subject

General Medicine

Link

http://www.jmis.org/download/download_pdf?doi=10.33851/JMIS.2022.9.2.75

Reference44 articles.

1. J. H. Lee, Y. W. Lee, D. Jun, and B. G. Kim, “Efficient color artifact removal algorithm based on high-efficiency video coding (HEVC) for high-dynamic range video sequences,” IEEE Access (IEEE), vol. 8, pp. 64099-64111, 2020. 10.1109/ACCESS.2020.2984012

2. H. Chen, X. He, L. Qing, Y. Wu, C. Ren, and R. E. Sheriff, et al., “Real-world single image super-resolution: A brief review,” Information Fusion, vol. 79, pp. 124-145, 2022. 10.1016/j.inffus.2021.09.005

3. S. Li, W. Ren, F. Wang, I. B. Araujo, E. K. Tokuda, and R. H. Junior, et al., “A comprehensive benchmark analysis of single image deraining: Current challenges and future perspectives,” International Journal of Computer Vision, vol. 129, no. 4, pp. 1301-1322, 2021. 10.1007/s11263-020-01416-w

4. D. Singh and V. Kumar, “A comprehensive review of computational dehazing techniques,” Archives of Computational Methods in Engineering, vol. 26, no. 5, pp. 1395-1413, 2019. 10.1007/s11831-018-9294-z

5. W. Wang, Y. Yang, X. Wang, W, Wang, and J, Li, “Development of convolutional neural network and its application in image classification: A survey,” Optical Engineering, vol. 58, no. 4, p. 040901, 2019. 10.1117/1.OE.58.4.040901

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1. DistilIQA: Distilling Vision Transformers for no-reference perceptual CT image quality assessment;Computers in Biology and Medicine;2024-07

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