Underwater Image Enhancement Method via Multi-Interval Subhistogram Perspective Equalization

Due to the selective attenuation of light in water, captured underwater images exhibit poor visibility and cause considerable challenges for vision tasks. The structural and statistical properties of different regions of degraded underwater images are damaged at different levels, resulting in a global nonuniform drift of the feature representation, causing further degradation of visual performance. To handle these issues, we present an underwater image enhancement method via multi-interval subhistogram perspective equalization to address the issues posed by underwater images. We estimate the degree of feature drifts in each area of an image by extracting the statistical characteristics of the image, using this…

• NN
  National Natural Science Foundation of China

  Award: 61702074
• FR
  Fundamental Research Funds for the Central Universities

  Awards: 3132019354, 3132019205