Adaptable image quality assessment using meta-reinforcement learning of task amenability.
Shaheer U. SaeedYunguan FuVasilis StavrinidesZachary M. C. BaumQianye YangMirabela RusuRichard E. FanGeoffrey A. SonnJ. Alison NobleDean C. BarrattYipeng HuPublished in: CoRR (2021)
Keyphrases
- image quality assessment
- reinforcement learning
- structural similarity
- quality assessment
- image quality
- natural scene statistics
- image quality measures
- blind image quality assessment
- correlation coefficient
- image database
- human visual system
- natural images
- quality measures
- image quality metrics
- visual perception
- quality metrics
- structural similarity index
- reduced reference
- similarity index
- quality evaluation
- image data
- perceptual image quality
- distorted images
- human perception
- kullback leibler divergence
- natural scenes
- visual quality
- transfer learning
- machine learning
- wavelet domain
- object recognition
- multiscale