| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-to-image |
| tags: |
| - polarization |
| - linear-rgb |
| - ipid |
| size_categories: |
| - n<1K |
| --- |
| |
| # IPID |
|
|
| This release contains the images supplied in the WU folders of the local Linear_RGB_Polar RLP collection. Dataset and scene directory names have been changed from WU to IPID, while the original training and test split and PNG contents are preserved. |
|
|
| ## Structure |
|
|
| ```text |
| train/IPID001/{0,45,90,135}.png |
| ... |
| test/IPID004/{0,45,90,135}.png |
| ... |
| ``` |
|
|
| Each scene contains four 8-bit RGB PNG images named for polarization angles in degrees: 0, 45, 90, and 135. Images are uploaded without conversion. |
|
|
| | Split | Scenes | PNG files | Bytes | |
| | --- | ---: | ---: | ---: | |
| | train | 170 | 680 | 881328742 | |
| | test | 7 | 28 | 33856651 | |
|
|
| Scene identifiers range from IPID001 through IPID177. Test scenes are IPID004, IPID017, IPID046, IPID070, IPID085, IPID086, and IPID096; all other scenes belong to the training split. |
|
|
| Image dimensions: 1024 x 1024 (628 images), 1280 x 1280 (20), 1536 x 1536 (32), 1664 x 1664 (4), 1792 x 1792 (16), 2048 x 1536 (4), and 2448 x 2048 (4). |
|
|
| License: CC-BY-4.0. |
|
|
| The accompanying `manifest.json` records each image's repository path, byte size, and SHA-256 checksum. |
|
|
| ## Citation |
|
|
| If you use this dataset in your research, please cite: |
|
|
| ```bibtex |
| @article{wu2026deep, |
| title={Deep unfolding with learned regularization for color polarization demosaicking}, |
| author={Wu, Caiyun and Luo, Yidong and Li, Chenggong and Zhang, Junchao and Lianga, Buge}, |
| journal={Advanced Imaging}, |
| volume={3}, |
| number={3}, |
| year={2026}, |
| publisher={Science Press} |
| } |
| ``` |
|
|
