Image understanding is a research field within artificial intelligence and computer vision focused on enabling computational systems to interpret and comprehend the content, meaning, and semantic information embedded within visual data, such as images and videos. This involves developing algorithms and models to perceive, analyze, and infer high-level representations of the visual world, bridging the gap between raw pixel data and human-like conceptual knowledge, thereby facilitating tasks like object recognition, scene analysis, and visual reasoning for applications ranging from autonomous systems to medical imaging.