Resolution Enhancement

Resolution enhancement techniques aim to increase the detail and clarity of images or other data, improving diagnostic accuracy and analytical capabilities. Current research focuses on developing and refining deep learning models, particularly convolutional neural networks (CNNs) and transformers, often incorporating self-supervised learning and incorporating domain-specific knowledge (e.g., for medical images or specific objects). These advancements are significantly impacting various fields, from medical imaging and sports analytics to astronomy and manufacturing, by enabling more precise analysis and improved decision-making based on higher-resolution data.