Saliency Detection

Saliency detection is a process in computer vision that identifies the most important or attention-grabbing parts of an image. It works by analyzing visual features like color, brightness, and contrast to determine which regions stand out to the human eye. This helps computers understand what elements in a picture are likely to attract a viewer’s focus, enabling tasks like image summarization, object recognition, or image editing to be more efficient. Essentially, it mimics human perception of visual importance to prioritize key areas within an image.