Dehazing and vision enhancement: challenges and future scope
Sattwik Barua, Tannistha Pal, Mritunjoy Halder · Institution of Engineering and Technology eBooks · 2023
Poor visibility of outdoor images has been drastically increased. Applications using computer vision, including surveillance systems, intelligent transportation systems, are not able to function properly due to limited visibility. Numerous image dehazing methods have been introduced as a solution to this problem, and they are crucial in enhancing the functionality of several computer vision systems. The dehazing approaches are intriguing to researchers as a consequence. In order to demonstrate that dehazing techniques could be successfully used in actual practice, this study conducts an extensive examination of the state-of-the-art dehazing approaches. In contrast, it motivates scholars to apply some of these methods for removing haze from hazy images. In this chapter, we discuss several robust mathematical models along with some neural network-based approaches and their implementations in various aspects. Finally, we address several concerns about difficulties and potential future applications of dehazing approaches.