Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion

Underwater images typically suffer from various quality degradation issues due to the scattering and absorption of light, but these degraded-quality underwater images are unbeneficial for analysis and applications. To effectively solve these quality degradation issues, an underwater image enhancement method via weighted wavelet visual perception fusion is introduced, called WWPF. Concretely, we first present an attenuation-map-guided color correction strategy to correct the color distortion of an underwater image. Subsequently, we employ the maximum information entropy optimized global contrast strategy to the color-corrected image to obtain a global contrast-enhanced image. Meanwhile, we apply a fast…

• NN
  National Natural Science Foundation of China

  Award: 62171252
• CP
  China Postdoctoral Science Foundation

  Award: 2019M660438
• NS
  Natural Science Foundation of Henan Province

  Award: 232300420428