Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric

Due to the attenuation and scattering of light by water, there are many quality defects in raw underwater images such as color casts, decreased visibility, reduced contrast, et al. . Many different underwater image enhancement (UIE) algorithms have been proposed to enhance underwater image quality. However, how to fairly compare the performance among UIE algorithms remains a challenging problem. So far, the lack of comprehensive human subjective user study with large-scale benchmark dataset and reliable objective image quality assessment (IQA) metric makes it difficult to fully understand the true performance of UIE algorithms. We in this paper make efforts in both subjective and objective aspects to fill…

• NN
  National Natural Science Foundation of China

  Awards: 61901236, 62002014, 62071261
• BN
  Beijing Nova Program

  Award: Z201100006820016
• NS
  Natural Science Foundation of Zhejiang Province

  Award: LR22F020002