Physics-based Noise Modeling for Extreme Low-light Photography

@article{Wei2021PhysicsbasedNM,
  title={Physics-based Noise Modeling for Extreme Low-light Photography},
  author={Kaixuan Wei and Ying Fu and Yinqiang Zheng and Jiaolong Yang},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  year={2021},
  volume={PP}
}
  • Kaixuan Wei, Ying Fu, +1 author Jiaolong Yang
  • Published 2021
  • Medicine, Computer Science, Engineering
  • IEEE transactions on pattern analysis and machine intelligence
Enhancing the visibility in extreme low-light environments is a challenging task. Under nearly lightless condition, existing image denoising methods could easily break down due to significantly low SNR. In this paper, we systematically study the noise statistics in the imaging pipeline of CMOS photosensors, and formulate a comprehensive noise model that can accurately characterize the real noise structures. Our novel model considers the noise sources caused by digital camera electronics which… Expand

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