For the purposes of Georgia Tech ECE 6258 only.
This repository contains the training, testing, and demo codes for the paper - UNIQUE : Unsupervised Image Quality Estimation.
There are two folders : Demo and Complete Pipeline.
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Demo code provides the necessary model and code to assess the quality of given reference and distorted images. Example reference and distorted images from TID 2013 database is provided.
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Complete pipeline provides code for training, testing, and validation.
Further details are provided within each folder. If there are any questions, please contact mohit.p@gatech.edu and alregib@gatech.edu.
The learnt filter weights :
Applying these weights to original (top) and distorted images (bottom), the obtained feature maps
The results of the algorithm on LIVE, MULTI-LIVE, and TID13 databases :
IEEE link : https://ieeexplore.ieee.org/document/7546870
ArXiv Link : https://arxiv.org/abs/1810.06631