Digital image compositing is receiving increasing attention from the image processing research community

and it has been used in many applications such as photo editing

graphic design

and for visual effects in movies. The essential of image compositing is how to extract foreground object from a given image and composite it to a new background seamlessly. In this paper

we give an overview over the different approaches of digital image compositing

which are categorized as matting-based image compositing

gradient-based image compositing

and multi-resolution-based image compositing. The representative methods in each category are stated briefly

and then we compare and analyze their performance according to quality of compositing

robustness and computation time. Next

several state-of-art applications of image compositing are introduced as extension of this survey. Finally

the limitations

the research challenges and the future directions of image compositing are discussed.