"Mastering Image Dehazing: Techniques and Algorithms in AI" explores advanced techniques in image dehazing, focusing on improving visual clarity for applications like aerial photography, surveillance, and remote sensing. It introduces innovative approaches such as Globally Guided Image Filtering (G-GIF) and deep learning models, offering solutions for single-image dehazing. With practical implementation in MATLAB and a focus on perceptual fog density, it presents significant advancements in recovering fine details and enhancing image quality. Aimed at researchers and professionals, this work serves as a concise guide to mastering modern dehazing methods.