MATLAB Implementation of Image Dehazing

Image dehazing is a computer vision technique implemented using MATLAB to generate depth maps and produce haze-free images. This processing method enhances image clarity and visibility by restoring contrast and color fidelity, resulting in more detailed and realistic images. MATLAB provides a robust programming environment with comprehensive image processing functions and toolboxes, enabling efficient implementation of dehazing algorithms. Key implementations typically involve the dark channel prior method for estimating atmospheric light, guided filter-based transmission map refinement, and atmospheric scattering model reconstruction. The algorithm workflow includes calculating dark channels, estimating global atmospheric light, computing transmission maps, and applying inverse atmospheric scattering models. These techniques have broad applications in surveillance systems, autonomous vehicles, and remote sensing, making dehazing processing valuable for both scientific research and practical implementations across various domains.