Background Removal
The process of separating a foreground subject from its background and replacing the background with transparency or a solid color.
Background removal isolates the primary subject in an image and replaces the surrounding background with transparency (alpha channel) or a solid color. While traditionally requiring green-screen photography or manual path creation, deep learning-based segmentation models offer a way to automate it.
One deep learning approach uses semantic segmentation architectures like U-Net or DeepLab to classify each pixel as foreground or background. For ambiguous boundaries such as hair or translucent materials, trimap-based matting produces edge transitions.
Applications include e-commerce product photos, ID portraits, and social media profile images, among others. Subjects can also be cut out with the background removal tool.