U
  • Machine Learning
  • Python

Underwater images often suffer from light scattering, absorption, and reflection, causing reduced visibility and color distortion. We propose a two-stage method for underwater image dehazing. First, we estimate the transmission map using the dark channel prior, then apply color correction for improved color balance. Our approach outperforms others in visual quality and quantitative metrics.

  • Color Correction
  • Dark Channel Prior
  • Underwater Image Dehazing