Dichromatic Gray Pixel for Camera-agnostic Color Constancy

نویسندگان

  • Yanlin Qian
  • Ke Chen
  • Jarno Nikkanen
  • Joni-Kristian Kamarainen
  • Jiri Matas
چکیده

We propose a novel statistical color constancy method, especially suitable for the Camera-agnostic Color Constancy, i.e. the scenario where nothing is known a priori about the capturing devices. The method, called Dichromatic Gray Pixel, or DGP, relies on a novel gray pixel detection algorithm derived using the Dichromatic Reflection Model. DGP is suitable for camera-agnostic color constancy, since varying devices are set to make achromatic pixels look gray under standard neutral illumination. In the camera-agnostic scenario, the proposed method outperforms, on standard benchmarks, both state-of-the-art learning-based and statistical methods. DGP is simple, literally dozens of lines of code, and fast, processing a 1080p image in 0.4 seconds with unoptimized MATLAB code running in a CPU Intel i7 2.5 GHz.

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تاریخ انتشار 2018