ML Anthology

Vignette and Exposure Calibration and Compensation

Dan B. Goldman, Jiun-Hung Chen
ICCV 2005 pp. 899-906
doi:10.1109/ICCV.2005.249 /iccv/2005/goldman2005iccv-vignette/

Abstract

We discuss calibration and removal of "vignetting" (radial falloff) and exposure (gain) variations from sequences of images. Unique solutions for vignetting, exposure and scene radiances are possible when the response curve is known. When the response curve is unknown, an exponential ambiguity prevents us from recovering these parameters uniquely. However, the vignetting and exposure variations can nonetheless be removed from the images without resolving this ambiguity. Applications include panoramic image mosaics, photometry for material reconstruction, image-based rendering, and preprocessing for correlation-based vision algorithms.

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Cite

Text

Goldman and Chen. "Vignette and Exposure Calibration and Compensation." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.249

Markdown

[Goldman and Chen. "Vignette and Exposure Calibration and Compensation." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/goldman2005iccv-vignette/) doi:10.1109/ICCV.2005.249

BibTeX

@inproceedings{goldman2005iccv-vignette,
  title     = {{Vignette and Exposure Calibration and Compensation}},
  author    = {Goldman, Dan B. and Chen, Jiun-Hung},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2005},
  pages     = {899-906},
  doi       = {10.1109/ICCV.2005.249},
  url       = {https://mlanthology.org/iccv/2005/goldman2005iccv-vignette/}
}