Haze Free

Image dehazing aims to computationally remove haze from images and videos, improving visibility and detail for various applications. Current research focuses on developing advanced deep learning models, including transformers and convolutional neural networks, often incorporating physical priors or multi-scale processing to handle complex, non-homogeneous haze distributions and improve performance on real-world data. These advancements are crucial for enhancing the quality of images and videos acquired in challenging atmospheric conditions, impacting fields like autonomous driving, remote sensing, and medical imaging. The development of large, high-resolution benchmark datasets is also a significant area of focus, enabling more robust evaluation and comparison of dehazing algorithms.