Illumination estimation via nonnegative matrix factorization

@article{Shi2012IlluminationEV,
  title={Illumination estimation via nonnegative matrix factorization},
  author={Lilong Shi and Brian V. Funt and Weihua Xiong},
  journal={J. Electronic Imaging},
  year={2012},
  volume={21},
  pages={033022}
}
The problem of illumination estimation for colour constancy and automatic white balancing of digital color imagery can be viewed as the separation of the image into illumination and reflectance components. We propose using nonnegative matrix factorization with sparseness constraints (NMFsc) to separate the components. Since illumination and reflectance are combined multiplicatively, the first step is to move to the logarithm domain so that the components are additive. The image data is then… CONTINUE READING

Citations

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References

Publications referenced by this paper.
Showing 1-10 of 16 references

Colour constancy using the chromagenic constraint

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) • 2005

Database for Color Constancy Research, Proc

F. Ciurea, B. Funt, A Large Imag
IS&T.SID Eleventh Color Imaging Conference, Society for Imaging Science and Technology, 160-163, Nov. • 2003

Estimating the scene illumination chromaticity by using a neural network.

Journal of the Optical Society of America. A, Optics, image science, and vision • 2002

and K

V. Cardei, B. Funt
Barnard, “Estimating the Scene Illumination Chromaticity Using a Neural Network,” Journal of the Optical Society of America A, Vol. 19, No. 12, Dec. • 2002

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