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Low-Light Image Deraining Based on Higher Order Variational Model

  • Yanan Gu,
  • Yiming Gao,
  • Dong Wang,
  • Chunyang Wang,
  • Bibo Lu

摘要

The existing rain streaks removal methods provide better deraining results, but it cannot be implemented on the low-light images due to the poor visual quality. To solve this problem, this paper presents a novel rain streaks removal approach using m fold infimal convolution of oscillating TGV( \(ICTGV^{osci}\) I C T G V osci ) regularization and Retinex theory for low-light images. Experiments on a number of challenging low-light rainy images are presented to demonstrate the efficiency and the flexibility of the proposed approaches in comparison with state-of-the-art methods.