Image Defogging Implementation

This code implements image defogging, a commonly used image processing technique. The defogging process involves modeling and estimating atmospheric haze in images to remove fog effects, resulting in clearer and more realistic images. This complete MATLAB implementation can be executed directly, offering convenient out-of-the-box functionality. The algorithm typically employs atmospheric scattering models and dark channel priors to estimate transmission maps and atmospheric light. Key functions may include: - Atmospheric light estimation using brightness and color statistics - Transmission map calculation through dark channel processing - Image reconstruction using the physical scattering model Users can process their own images through this code to obtain defogged results. The implementation allows for customization and optimization based on specific requirements, such as adjusting parameters for different haze conditions or improving computational efficiency. The code structure supports modifications to enhance defogging quality for various image types and lighting scenarios. This represents an effective and practical tool that enables users to perform image defogging operations efficiently, with potential applications in photography, surveillance, and computer vision systems.