The process of calculating precise fractional alpha opacity values for fine structural features like hair strands, fur, and glass reflections.
Unlike basic binary pixel clipping (which forces pixels to be either strictly 100% black or 100% white), **Image Matting** solves the composite opacity equation for semi-transparent boundaries:
$$I = \alpha F + (1 - \alpha) B$$
Matting enables background removers to isolate soft hair strands, smoke, mesh fabrics, and glass without leaving dark fringe halos or jagged edges.
An architectural exploration of neural networks, semantic segmentation, image matting, alpha channels, and ONNX WebAssembly inference in modern web applications.
Read GuidePractical techniques for cleaning up flyaway hair, translucent glass edges, and dark halos after automatic background isolation.
Read GuideExperience sub-second in-browser WebAssembly AI background removal. 100% private, zero server uploads, and unlimited 4K PNG exports.