Fixed Pattern Noise Removal For Multi-View Single-Sensor Infrared Camera (WACV 2024)

WACV version of the article

This repository provides the official implementation of the article Fixed Pattern Noise Removal For Multi-View Single-Sensor Infrared Camera.

How to use

Offline If you have pairs of ground truth data and noisy data, you can use the code as follows:

python CP/Multi_view_CP_offline.py --refdir 'testset/gt' --indir 'testset/noisy' --outdir './results'

If you only have noisy data:

python CP/Multi_view_CP_offline.py --refdir 'testset/noisy' --outdir './results'

To test the code with clean data

python CP/Multi_view_CP_offline.py --refdir 'testset/noisy' --outdir './results' --add_noise

Same for pytorch implementation with Pytorch/Multi_view_GD_offline.py

DATA

The data is available on the following link. To create average images as in the paper you can use the follwing command:

python get_average_tiff.py --indir 'PathOfTheData' --outdir 'WhereToSaveAverageImages'

Citation

If you use our work, please cite us with the following:

@InProceedings{Barral_2024_WACV,
    author    = {Barral, Arnaud and Arias, Pablo and Davy, Axel},
    title     = {Fixed Pattern Noise Removal for Multi-View Single-Sensor Infrared Camera},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2024},
    pages     = {1669-1678}
}