The research goal is to quantitatively evaluate the performance of DCP Morphology and CAP HLP, individually and in combination with CLAHE, in improving image visibility and quality under hazy conditions. The findings aim to guide the selection and optimization of dehazing methods for enhanced computer vision in challenging environmental scenarios.

UTV：A novel dark channel prior guided variational framework for underwater image restoration

A Matlab implementation of haze removal from a single image (RGB and Grayscale)

This is the MATLAB source code of a haze removal algorithm, which dehazes a hazy input image using simple image enhancement techniques, such as detail enhancement, gamma correction, and single-scale image fusion.