Image quality assessment: Learning to rank image distortion level.
Shira Faigenbaum-GolovinOr ShimshiPublished in: IQSP (2022)
Keyphrases
- image distortion
- image quality assessment
- learning to rank
- image quality
- structural similarity
- ranking functions
- information retrieval
- human visual system
- quality assessment
- loss function
- quality evaluation
- correlation coefficient
- evaluation measures
- natural images
- quality metrics
- visual perception
- document retrieval
- distorted images
- image database
- evaluation metrics
- perceptual quality
- supervised learning
- human perception
- quality measures
- structural information
- collaborative filtering
- retrieval systems
- language model
- web search engines
- visual quality
- information theoretic