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Color Recovery from Biased Illumination: Color Constancy

Po-Wie Hwang, Yung-Sheng Chen, Fang-Hsuan Cheng, Wen-Hsing Hsu
CVPR 1993 pp. 631-632
doi:10.1109/CVPR.1993.341053 /cvpr/1993/hwang1993cvpr-color/

Abstract

An algorithm for achieving color constancy is presented. The algorithm consists of four models: the finite-dimensional model, the homomorphic model, the statistical model, and the recovery model. From them, it is possible to estimate the surface reflectance, even when the spectral distribution of the ambient light is unknown. Thus color constancy can be achieved under biased illumination. To prove the correctness of the authors' algorithm, some experiments are conducted under different illuminative conditions.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Hwang et al. "Color Recovery from Biased Illumination: Color Constancy." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341053

Markdown

[Hwang et al. "Color Recovery from Biased Illumination: Color Constancy." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/hwang1993cvpr-color/) doi:10.1109/CVPR.1993.341053

BibTeX

@inproceedings{hwang1993cvpr-color,
  title     = {{Color Recovery from Biased Illumination: Color Constancy}},
  author    = {Hwang, Po-Wie and Chen, Yung-Sheng and Cheng, Fang-Hsuan and Hsu, Wen-Hsing},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {631-632},
  doi       = {10.1109/CVPR.1993.341053},
  url       = {https://mlanthology.org/cvpr/1993/hwang1993cvpr-color/}
}