This is the official repository of the IEEE Control Systems Letters submission entitled 'Adaptive Denoising and Alignment Agents for Infrared Imaging'.
Namely, the Denoiser learns the proper frequency decomposition of the acquired infrared data until the target segmentation metric is maximized; whereas, the Aligner learns the intensity fluctuations within the segmentation mask tuned by the Denoiser until its maximal overlap with the source infrared image.
./rl/: folder where Q-window reinforcement learning codes are stored../rl/Mask_Proj_Env.py: projection-related routine../rl/run.py: run to start the alignment
If you use this package in your publications or in other work, please cite it as follows:
@ARTICLE{ADAIR,
author={Leli, Vito M. and Shipitsin, Viktor and Rogov, Oleg Y. and Sarachakov, Aleksandr and Dylov, Dmitry V.},
journal={IEEE Control Systems Letters},
title={Adaptive Denoising and Alignment Agents for Infrared Imaging},
year={2022},
volume={6},
number={},
pages={1586-1591},
doi={10.1109/LCSYS.2021.3126212}
}