- history
- reference
- VeNICE: A very deep neural network approach to no-reference image assessment.
- 2016ICASSP:Blind image quality assessment formultiply distorted images via convolutional networks
- 2017IEEESignal Processing Magazine: Deep convolutional neural models for picturequality prediction. Jongyoo Kim
- 2017ICCV:RankIQA: Learning from rankings forno-reference image quality assessment, XiaLei Liu
- 2017TIP.Waterloo Exploration Database: New Challenges for Image Quality AssessmentModels
- 2017TIP,Kede Ma, End to end blind imagequality assessment using deep neural networks.
- paper
- github(caffe)
- [reference]
- [reference]
- [reference]
- [SVR(support vector regression)]
- use LIVE dataset