Comprehensive review of single image defogging techniques: enhancement, prior, and learning based approaches

In the field of image processing, practical applications such as object detection, tracking, and surveillance face significant challenges, particularly in adverse weather conditions like fog. Foggy weather conditions severely reduce object visibility, thereby impeding object detection and tracking processes. To address this issue, various image defogging techniques have been proposed by researchers. The prime motive of this paper is to present a detailed analysis and summary of state-of-the-art single image defogging techniques developed over the past decade. Defogging techniques have been evaluated using both qualitative and quantitative approaches to illustrate their feasibility and effectiveness. This comprehensive review aims to provide researchers with valuable insights into existing techniques so that they can proceed in a particular direction according to their interests and applications.