Image and Video Matting: A Survey

By Jue Wang, Michael F. Cohen. Foundations and Trends in Computer Graphics and Vision, 2007

395 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Image matting for fusion of multi-focus images in dynamic scenes (2013, methodology): “Image matting is an important technique to accurately distinguish the foreground from background [21] which has been widely used in many applications, e.”
Digital image forensics: a booklet for beginners (2010, background): “Furthermore, to produce a smooth transition between the (original) surround and the object to be pasted, matting and blending techniques can be exploited [74, 91].”
Salient object detection: A survey (2014, methodology): “s foreground and background seeds to reﬁne the rest of the image, maybe along with the further interaction of the user. To make the cutted foreground object look more natural, alpha matting algorithm [174] is usually adopted to post-process the foreground. Mortensen and Barrett [9] have proposed a b”
Real-Time High-Resolution Background Matting (2020, methodology): “Different matting techniques are reviewed in the survey by Wang and Cohen [31].”
Shared Sampling for Real‐Time Alpha Matting (2010, methodology): “Matting techniques can be classiﬁed according to the underlying method used for solving the matte [WC07a], which can be based on sampling , pixel afﬁnities , or a combination of the two.”
A perceptually motivated online benchmark for image matting (2009, result): “[22].”