Dehazing Algorithms for Improved Visibility: Comparative Analysis
Vinay Uniyal, Sanskar Baluni, Anupam Kothari, Sachin Aswal, Vikrant Sharma, Satvik Vats · 2024
Dehazing algorithms play a role in enhancing visibility and image quality in situations affected by haze. This research paper delves into dehazing methods conducting a comparison to unveil their complexities and assess their ability to enhance clarity in hazy images. Haze elimination is a step-in computer vision and image manipulation playing a role in various applications such as surveillance and autonomous vehicles. This research systematically examines a range of dehazing techniques considering both conventional and cuttingedge approaches. By evaluating performance metrics for image quality, the goal is to gain an insight into each algorithm. The findings of this study aim to offer insights for researchers, computer vision professionals and industry experts when selecting dehazing methods that align with specific needs and scenarios. The discoveries contribute to the progression of cutting-edge techniques for reducing haze, encouraging innovations that have the potential to enhance the clarity of images in challenging environmental conditions. Eventually, this research aims to bridge the gap between theoretical advancements and practical implementations, fostering progress in dehazing technology applicable across a broad spectrum of applications.