A deep learning approach to document image quality assessment.
Le KangPeng YeYi LiDavid S. DoermannPublished in: ICIP (2014)
Keyphrases
- deep learning
- image quality assessment
- quality assessment
- structural similarity
- image quality
- unsupervised learning
- human visual system
- machine learning
- keywords
- image database
- natural images
- quality metrics
- correlation coefficient
- human perception
- mental models
- quality evaluation
- information retrieval
- quality measures
- model selection
- visual perception
- weakly supervised
- visual quality
- action recognition
- natural scenes
- semi supervised
- object recognition
- kullback leibler divergence
- feature selection