Image Desnowing

Image desnowing aims to computationally remove snow from images and videos, improving visual quality and enabling better analysis in applications like power line inspection. Recent research focuses on deep learning models, particularly transformer-based architectures and recursive networks, which leverage multi-scale feature extraction and context interaction to address the irregular and diverse nature of snow. These advancements improve the accuracy and efficiency of desnowing, leading to better performance on various datasets and potentially impacting fields requiring clear visual data in snowy conditions.