Funder
Natural Science Foundation of Guangxi Zhuang Autonomous Region
Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Southwest Medical University
National Aerospace Science Foundation of China
National Natural Science Foundation of China
Key Program of NSFC-Tongyong Union Foundation
Reference64 articles.
1. Deep neural networks for no-reference and full-reference image quality assessment;Bosse;IEEE Transactions on Image Processing,2018
2. Blind image quality assessment by simulating the visual cortex;Cai;Visual Computer,2023
3. Chen, Z., Chen, Y., Liang, X., & Tang, Z. (2022). Multi-Level Feature Aggregation Network for Full-Reference Image Quality Assessment. In Proceeding of the IEEE 34th international conference on tools with artificial intelligence (pp. 861–866).
4. Dual-feature aggregation network for no-reference image quality assessment;Chen,2023
5. Perceptual video hashing with secure anti-noise model for social video retrieval;Chen;IEEE Internet of Things Journal,2024