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  • Alexander Bokov's avatar
    Auto color balance improvements · 5fbc7daf
    Alexander Bokov authored 
    Implemented a learning-based color balance algorithm, which typically provides
noticeably better quality than grayworld, while being several times slower.
Added a python script for training this algorithm, as well as the benchmarking script
for objective quality evaluation.

Also made some modifications to the grayworld algorithm implementation, including the
16 bit image support and overall acceleration by about 1.7 times (for 8 bit images).
    5fbc7daf
xphoto.bib 542 Bytes
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@incollection{He2012,
  title={Statistics of patch offsets for image completion},
  author={He, Kaiming and Sun, Jian},
  booktitle={Computer Vision--ECCV 2012},
  pages={16--29},
  year={2012},
  publisher={Springer}
}

@inproceedings{Cheng2015,
  title={Effective learning-based illuminant estimation using simple features},
  author={Cheng, Dongliang and Price, Brian and Cohen, Scott and Brown, Michael S},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={1000--1008},
  year={2015}
}