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Determining the Radiometric Response Function from a Single Grayscale Image

Stephen Lin, Lei Zhang
CVPR 2005 pp. 66-73
doi:10.1109/CVPR.2005.128 /cvpr/2005/lin2005cvpr-determining/

Abstract

A method is presented for computing the radiometric response function of a camera from a single grayscale image. While most previous techniques require a set of registered images with different exposures to obtain response data, our approach capitalizes on a statistical feature of graylevel histograms at edge regions to gain information for radio-metric calibration. Appropriate edge regions are automatically determined by our technique, and a prior model of radiometric response functions is employed to deal with incomplete data. With this single-image method, radiometric calibration becomes possible to perform in many instances where the camera is unknown.

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Cite

Text

Lin and Zhang. "Determining the Radiometric Response Function from a Single Grayscale Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.128

Markdown

[Lin and Zhang. "Determining the Radiometric Response Function from a Single Grayscale Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/lin2005cvpr-determining/) doi:10.1109/CVPR.2005.128

BibTeX

@inproceedings{lin2005cvpr-determining,
  title     = {{Determining the Radiometric Response Function from a Single Grayscale Image}},
  author    = {Lin, Stephen and Zhang, Lei},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {66-73},
  doi       = {10.1109/CVPR.2005.128},
  url       = {https://mlanthology.org/cvpr/2005/lin2005cvpr-determining/}
}