Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network

@article{Nam2017ModellingTS,
  title={Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network},
  author={Seonghyeon Nam and Seon Joo Kim},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={1726-1734}
}
  • Seonghyeon Nam, S. Kim
  • Published 26 July 2017
  • Computer Science
  • 2017 IEEE International Conference on Computer Vision (ICCV)
We present a novel deep learning framework that models the scene dependent image processing inside cameras. Often called as the radiometric calibration, the process of recovering RAWimages from processed images (JPEG format in the sRGB color space) is essential for many computer vision tasks that rely on physically accurate radiance values. All previous works rely on the deterministic imaging model where the color transformation stays the same regardless of the scene and thus they can only be… 

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