Underwater images often suffer degradation due to factors like light scattering, absorption, and reflection, causing reduced visibility and color distortion. To enhance image quality, It  introduces a two-stage dehazing method. estimate the transmission map using the dark channel prior, effectively measuring haze thickness. Then, color correction is applied to restore color balance. By employing a color transfer function and selecting a reference image based on content and lighting similarity, it improve the visual quality and quantitative metrics of contrast and colorfulness in underwater image dehazing, outperforming existing methods.

• Image Processing
• Image Quality Enhancement
• Reference Image Selection