This project is for HDR Image Quality Assessment(IQA) based on the paper "Blind High Dynamic Range Image Quality Assessment Using Deep Learning"[1]. That paper proposes the use of convolutional neural network combined with a saliency map for HDR IQA. This project requires the deep learning libraries, Theano and Lasagne.
@INPROCEEDINGS{Jia17b,
author={S. Jia and Y. Zhang and D. Agrafiotis and D. Bull},
booktitle={2017 IEEE International Conference on Image Processing (ICIP)},
title={Blind high dynamic range image quality assessment using deep learning},
year={2017},
pages={765-769},
month={Sept}
}
CNN-model trained on the JPEG_XT dataset: https://drive.google.com/open?id=0B-NkNGhp_DJQUGZlM1U3Z2tRQjg
CNN-model trained on the HDR_JPEG dataset: https://drive.google.com/open?id=0B-NkNGhp_DJQMTRjcEstaWZwcGc