LLNet: A deep autoencoder approach to natural low-light image enhancement

@article{Lore2015LLNetAD,
  title={LLNet: A deep autoencoder approach to natural low-light image enhancement},
  author={Kin Gwn Lore and Adedotun Akintayo and Soumik Sarkar},
  journal={Pattern Recognition},
  year={2015},
  volume={61},
  pages={650-662}
}
Abstract In surveillance, monitoring and tactical reconnaissance, gathering visual information from a dynamic environment and accurately processing such data are essential to making informed decisions and ensuring the success of a mission. Camera sensors are often cost-limited to capture clear images or videos taken in a poorly-lit environment. Many applications aim to enhance brightness, contrast and reduce noise content from the images in an on-board real-time manner. We propose a deep… CONTINUE READING

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