Schlieren Image

Schlieren imaging is an optical technique visualizing density variations in transparent media like air or water, primarily used to study fluid flows. Current research focuses on improving quantitative analysis of schlieren images, employing advanced techniques like neural networks (e.g., neural refractive index fields) to enhance resolution, accuracy, and computational efficiency in reconstructing density fields from both conventional and event-based cameras. These advancements are enabling more precise measurements of flow parameters in various applications, from combustion studies to supersonic aerodynamics, and are expanding the technique's capabilities through the integration of machine learning for automated data extraction and analysis.