Published Paper Details:

This paper aims to provide a comprehensive review of various techniques employed for haze removal. Within the realm of image processing and analysis, image dehazing stands out as a pivotal area of research. The dehazing process holds significant importance in enhancing human comprehension under conditions of low visibility. Haze, indicative of poor air quality, manifests as a visually impairing pale appearance in the atmosphere, leading to diminished visibility. This atmospheric phenomenon arises from the heightened concentration of air pollutants suspended in the air, causing scattering and absorption of sunlight. Consequently, affected images exhibit a whitened appearance with reduced contrast. The adverse effects of haze extend across diverse applications within computer vision, notably in fields such as video surveillance and object detection. This paper is dedicated to thoroughly exploring various procedures designed to effectively eliminate haze from images. Furthermore, it critically evaluates the limitations inherent in existing methods, aiming to contribute insights into refining and advancing dehazing techniques.