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
相关论文
共 50 条
  • [31] A Hierarchical Framework on Affinity Based Image Matting
    Yao G.-L.
    Zhao Z.-J.
    Su X.-D.
    Xin H.-T.
    Hu W.
    Qin X.-L.
    Zidonghua Xuebao/Acta Automatica Sinica, 2021, 47 (01): : 209 - 223
  • [32] Deep Image Matting With Sparse User Interactions
    Wei, Tianyi
    Chen, Dongdong
    Zhou, Wenbo
    Liao, Jing
    Zhao, Hanqing
    Zhang, Weiming
    Hua, Gang
    Yu, Nenghai
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 46 (02) : 881 - 895
  • [33] Image In-Painting Techniques - A Survey and Analysis
    Ravi, S.
    Pasupathi, P.
    Muthukumar, S.
    Krishnan, N.
    2013 9TH INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION TECHNOLOGY (IIT), 2013,
  • [34] Multi-guided-based image matting via boundary detection
    Yao, Guilin
    Sun, Anming
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2024, 243
  • [35] Sampling Propagation Attention With Trimap Generation Network for Natural Image Matting
    Zhou, Yuhongze
    Zhou, Liguang
    Lam, Tin Lun
    Xu, Yangsheng
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 33 (10) : 5828 - 5843
  • [36] Natural Image Matting with Attended Global Context
    Yi-Yi Zhang
    Li Niu
    Yasushi Makihara
    Jian-Fu Zhang
    Wei-Jie Zhao
    Yasushi Yagi
    Li-Qing Zhang
    Journal of Computer Science and Technology, 2023, 38 : 659 - 673
  • [37] Natural image matting based on surrogate model
    Liang, Yihui
    Gou, Hongshan
    Feng, Fujian
    Liu, Guisong
    Huang, Han
    APPLIED SOFT COMPUTING, 2023, 143
  • [38] A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus Images
    Fan, Zhun
    Lu, Jiewei
    Wei, Caimin
    Huang, Han
    Cai, Xinye
    Chen, Xinjian
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 28 (05) : 2367 - 2377
  • [39] Semantic Image Matting: General and Specific Semantics
    Sun, Yanan
    Tang, Chi-Keung
    Tai, Yu-Wing
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 132 (03) : 710 - 730
  • [40] Semantic Image Matting: General and Specific Semantics
    Yanan Sun
    Chi-Keung Tang
    Yu-Wing Tai
    International Journal of Computer Vision, 2024, 132 : 710 - 730