Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors

Underwater image enhancement aims at improving the visibility and eliminating color distortions of underwater images degraded by light absorption and scattering in water. Recently, retinex variational models show remarkable capacity of enhancing images by estimating reflectance and illumination in a retinex decomposition course. However, ambiguous details and unnatural color still challenge the performance of retinex variational models on underwater image enhancement. To overcome these limitations, we propose a hyper-laplacian reflectance priors inspired retinex variational model to enhance underwater images. Specifically, the hyper-laplacian reflectance priors are established with the l1/2-norm penalty on…

• NN
  National Natural Science Foundation of China

  Awards: 62071272, 61701245, 62171252
• MO
  Ministry of Science and Technology of the People's Republic of China

  Award: 2020AA0108202
• CP
  China Postdoctoral Science Foundation

  Awards: 2021M701903, 2019M660644
• NK
  National Key Research and Development Program of China

  Award: 2020AAA0130000