To work this magic, EZ Mask iteratively estimates the transparency value for every pixel in the image, based on a small sample of foreground (what you want to cut out) and background pixels marked by simple strokes on the image.

Results show that compared with previous approaches, our method is more efficient and requires minimal effort to extract high quality masks for foregrounds with significant semitransparent regions. In addition, the foreground colors are estimated in the semi-transparent areas to create a seamless composite.

What was once thought of as the Holy Grail of digital imaging is now a reality with EZ Mask.