Advanced Image Dehazing Techniques using Optimized Filters and Globally Guided Image Filtering

This paper presents sophisticated methods for picture dehazing, focusing on an optimized filtering approach called LIF paired with GGIF. The proposed Low-pass Infinite Impulse Response (LIF) technique provides a reliable method for enhancing the image by reducing noise while retaining significant features such as edges and intricate patterns. LIF, unlike traditional methods, employs adaptive techniques for enhancing both gray-scale and colour images. It achieves this by utilizing Gaussian-weighted proximity and intensity modifications, resulting in improved detail clarity and reduced noise. The incorporation of LIF (Local Intensity Filtering) with GGIF (Global Guided Image Filtering) resulted in significant enhancement in performance for the dehazing application, showcasing a noticeable increase in the perceptual fog density metric throughout the test images. The experimental results validate that the approach significantly enhances image quality by reducing fog density, with an average enhancement of 41.33%.