Deep Learning approaches for Image Dehazing
M. Pavethra, M. Uma Devi · 2021
Computer visibility is a multi-sectoral systematic field concerned with how computers assist to improve high-level understanding of digital images and videos. Haze is an atmospheric natural phenomenon that hinders computer vision tasks. In the present era, image degradation is a major issue, and creating a high-quality, haze-free image remains a difficult challenge. As a consequence, the performance of many multimedia processing systems leads to poor object recognition and tracking. More haze removal algorithms have been proposed to counter this issue, which aesthetically enhances the visibility of visuals that have been deteriorated by adverse weather, hence eradicating the haze effect. Since haze is reliant on an uncertain scene depth, it is a significant challenge to resolve. This study investigated existing strategies for eradicating haze from obtained photographs. This review is designed to formulate strategies for researchers to point the appropriate direction for future advancements based on current accomplishments.