Face-Image-Quality-Assessment

Image Quality Assessment Papers

• 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.

Face DataSet

• Color FERET

Image DataSet

• 

2014 Convolutional Neural Networks for No-Reference Image Quality Assessment

• paper
• github(caffe)
• [reference]
• [reference]
• [reference]
• [SVR(support vector regression)]
• use LIVE dataset

2017 ICCV：RankIQA: Learning from rankings forno-reference image quality assessment, XiaLei Liu

• paper
• github

2015 Face image quality assessment for face selection in surveillance video using convolutional neural networks

• paper

2017 Automatic Face Image Quality Prediction

• paper

2017 NIMA: Neural Image Assessment

• paper
• gihub

2011(Non-DL) Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face

• paper
• reference

Github

• (app)Facial Image Quality Assessment
• (matlab)Improving Biometric Quality of Noisy Face Images
• (matlab)Image Quality Assessment applied to Long Wave Infrared (LWIR) face recognition
• (python)Face Quality Assessment
• (matlab)Illumination Quality Assessment for Face Images