Improving Robustness of Image Quality Measurement with Degradation Classification and Machine Learning

Author:

Falk Tiago H.,Guo Yingchun,Chan Wai-Yip

Publisher

IEEE

Cited by 8 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. The Robustness of Machine Learning Models Using MLSecOps: A Case Study On Delivery Service Forecasting;2023 14th International Conference on Information & Communication Technology and System (ICTS);2023-10-04

2. Systemic distortion analysis with deep distortion directed image quality assessment models;Signal Processing: Image Communication;2022-11

3. Deep multi-task learning for image/video distortions identification;Neural Computing and Applications;2021-10-26

4. Using distortion and asymmetry determination for blind stereoscopic image quality assessment strategy;Journal of Visual Communication and Image Representation;2017-11

5. A ParaBoost stereoscopic image quality assessment (PBSIQA) system;Journal of Visual Communication and Image Representation;2017-05

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