Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating

Abstract

This paper introduces a practical and accurate calibration method for camera spectral sensitivity using a diffraction grating. Accurate calibration of camera spectral sensitivity is crucial for various computer vision tasks, including color correction, illumination estimation, and material analysis. Unlike existing approaches that require specialized narrow-band filters or reference targets with known spectral reflectances, our method only requires an uncalibrated diffraction grating sheet, readily available off-the-shelf. By capturing images of the direct illumination and its diffracted pattern through the grating sheet, our method estimates both the camera spectral sensitivity and the diffraction grating parameters in a closed-form manner. Experiments on synthetic and real-world data demonstrate that our method outperforms conventional reference target-based methods, underscoring its effectiveness and practicality.

Cite

Text

Makabe et al. "Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating." International Conference on Computer Vision, 2025.

Markdown

[Makabe et al. "Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating." International Conference on Computer Vision, 2025.](https://mlanthology.org/iccv/2025/makabe2025iccv-spectral/)

BibTeX

@inproceedings{makabe2025iccv-spectral,
  title     = {{Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating}},
  author    = {Makabe, Lilika and Santo, Hiroaki and Okura, Fumio and Brown, Michael S. and Matsushita, Yasuyuki},
  booktitle = {International Conference on Computer Vision},
  year      = {2025},
  pages     = {27252-27261},
  url       = {https://mlanthology.org/iccv/2025/makabe2025iccv-spectral/}
}