A Survey on Image Matting Techniques

被引:0
|
作者
Boda, Jagruti [1 ]
Pandya, Dhatri [1 ]
机构
[1] SCET, Dept Comp Engn, Surat, India
来源
PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP) | 2018年
关键词
Deep CNN; Deep learning; Image Matting; Propagation based Matting; Sampling based Matting; Trimap;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With advanced digital camera, the matting techniques are highly used to create an innovative composite and to facilitate other editing tasks that has gained increasing benefits from both professionals as well as consumers. Image Matting techniques are key step of image and video editing, image translation and in film production to track the object in scene. Image matting methods categories in to three types, sampling based, propagation based, and learning based. A hybrid of sampling based and propagation-based matting uses to improve the result of alpha matte. Various image matting techniques and systems have been proposed to efficiently extract high quality mattes from image. In this paper a comprehensive review of existing image matting techniques along with parametric evaluation of these schemes are discussed.
引用
收藏
页码:765 / 770
页数:6
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