| --- |
| language: |
| - en |
| license: cc-by-4.0 |
| task_categories: |
| - image-to-image |
| pretty_name: SCaN-TIR |
| --- |
| |
| # SCaN-TIR: Stereo Clean-and-Noisy Paired Thermal Infrared Dataset |
|
|
| [**TIDY: Thermal Infrared Image Denoising via Wavelet Domain Entropy and Directional Stripe Index**](https://huggingface.co/papers/2606.19813) |
|
|
| [Code](https://github.com/williamrheeth/TIDY) | [Dataset](https://huggingface.co/datasets/williamrhee/SCaN-TIR) | [Video](https://youtu.be/PxcEG1ayDKE) |
|
|
| SCaN-TIR is a real clean–noisy paired thermal infrared dataset for supervised TIR image denoising. It contains over 32.5K hardware-synchronized and geometrically aligned image pairs captured with two adjacent FLIR A65 thermal cameras, where one camera stream was intentionally degraded by disabling non-uniformity correction (NUC). The dataset includes both indoor and outdoor sequences at 640×512 resolution, providing real sensor noise rather than synthetic noise approximations. |
|
|
| ## Highlights |
|
|
| * First real stereo clean–noisy paired and aligned TIR dataset |
| * Over 32.5K synchronized thermal image pairs |
| * Captured using two adjacent FLIR A65 infrared cameras |
| * One stream collected with NUC disabled to obtain real noisy thermal images |
| * Geometrically aligned through stereo rectification using calibrated extrinsics |
| * Includes both indoor and outdoor sequences |
| * Provides both Fieldscale-mapped 8-bit images and original 14-bit images |
| * Designed for supervised real-noise TIR denoising and downstream robotics perception |
|
|
| ## Usage |
|
|
| You can download the dataset using the Hugging Face CLI: |
|
|
| ```bash |
| pip install -U "huggingface_hub[cli]" |
| |
| huggingface-cli download williamrhee/SCaN-TIR \ |
| --repo-type dataset \ |
| --local-dir SCaN-TIR |
| ``` |
|
|
| ## Dataset Structure |
|
|
| The dataset is organized into scene folders containing synchronized clean and noisy thermal infrared images. |
|
|
| ```text |
| SCaN-TIR |
| ├── {$SEQUENCE_NAME} |
| | ├── left_clean |
| | | ├── frame_00000.png |
| | | └── ... |
| | ├── right_noisy |
| | | ├── frame_00000.png |
| | | └── ... |
| | ├── thermal_14bit_left_image_raw |
| | | ├── frame_00000.png |
| | | └── ... |
| | └── thermal_14bit_right_image_raw |
| | ├── frame_00000.png |
| | └── ... |
| ├── ... |
| ... |
| ``` |
|
|
| ## Citation |
|
|
| If you use SCaN-TIR in your research, please cite: |
|
|
| ```bibtex |
| @inproceedings{rhee2026tidy, |
| title={TIDY: Thermal Infrared Image Denoising via Wavelet Domain Entropy and Directional Stripe Index}, |
| author={Rhee, Tai Hyoung and Lee, Dong-guw and Kim, Ayoung}, |
| booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, |
| year={2026}, |
| organization={IEEE} |
| } |
| ``` |