Image Quality Assessment-driven Reinforcement Learning for Mixed Distorted Image Restoration.
Xiaoyu ZhangWei GaoGe LiQiuping JiangRunmin CongPublished in: ACM Trans. Multim. Comput. Commun. Appl. (2023)
Keyphrases
- image restoration
- image quality assessment
- distorted images
- structural similarity
- quality assessment
- image quality
- image database
- human visual system
- super resolution
- image processing
- blurred images
- correlation coefficient
- quality evaluation
- markov random field
- natural images
- quality measures
- visual perception
- kullback leibler divergence
- structural information
- human perception
- quality metrics
- machine learning
- image reconstruction
- computational complexity
- high quality