Image matting for fusion of multi-focus images in dynamic scenes

被引:259
|
作者
Li, Shutao [1 ]
Kang, Xudong [1 ]
Hu, Jianwen [1 ]
Yang, Bin [1 ]
机构
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-focus image fusion; Image matting; Dynamic scenes; Morphological filtering; Focus information; LOW DEPTH; SEGMENTATION; PERFORMANCE; TRANSFORM;
D O I
10.1016/j.inffus.2011.07.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we address the problem of fusing multi-focus images in dynamic scenes. The proposed approach consists of three main steps: first, the focus information of each source image obtained by morphological filtering is used to get the rough segmentation result which is one of the inputs of image matting. Then, image matting technique is applied to obtain the accurate focused region of each source image. Finally, the focused regions are combined together to construct the fused image. Through image matting, the proposed fusion algorithm combines the focus information and the correlations between nearby pixels together, and therefore tends to obtain more accurate fusion result. Experimental results demonstrate the superiority of the proposed method over traditional multi-focus image fusion methods, especially for those images in dynamic scenes. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:147 / 162
页数:16
相关论文
共 50 条
  • [41] Multi-focus image fusion techniques: a survey
    Bhat, Shiveta
    Koundal, Deepika
    ARTIFICIAL INTELLIGENCE REVIEW, 2021, 54 (08) : 5735 - 5787
  • [42] A Novel Fusion Algorithm for Multi-focus Image
    Wang Hongmei
    Nie Cong
    Li Yanjun
    Zhang Ke
    Chen Lihua
    APPLIED INFORMATICS AND COMMUNICATION, PT 4, 2011, 227 : 641 - +
  • [43] Multi-focus image fusion with dense SIFT
    Liu, Yu
    Liu, Shuping
    Wang, Zengfu
    INFORMATION FUSION, 2015, 23 : 139 - 155
  • [44] A novel approach with the dynamic decision mechanism (DDM) in multi-focus image fusion
    Samet Aymaz
    Cemal Köse
    Şeyma Aymaz
    Multimedia Tools and Applications, 2023, 82 : 1821 - 1871
  • [45] Multi-focus image fusion using learning based matting with sum of the Gaussian-based modified Laplacian
    Xu, Yadong
    Sun, Beibei
    Yan, Xiaoan
    Hu, Jianzhong
    Chen, Minglong
    DIGITAL SIGNAL PROCESSING, 2020, 106
  • [46] DCKN: Multi-focus image fusion via dynamic convolutional kernel network
    Duan, Zhao
    Zhang, Taiping
    Luo, Xiaoliu
    Tan, Jin
    SIGNAL PROCESSING, 2021, 189
  • [47] Multi-focus Image Fusion Using Local Structure Features with Dynamic Windows
    Liu, Chen-Chung
    Lin, Hsin-Lei
    Yu, Shry-Shen
    2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2015, : 1711 - 1715
  • [48] Focus Relationship Perception for Unsupervised Multi-Focus Image Fusion
    Liu, Jinyang
    Li, Shutao
    Dian, Renwei
    Song, Ze
    IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 26 : 6155 - 6165
  • [49] A novel approach with the dynamic decision mechanism (DDM) in multi-focus image fusion
    Aymaz, Samet
    Kose, Cemal
    Aymaz, Seyma
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (02) : 1821 - 1871
  • [50] CFNet: Context fusion network for multi-focus images
    Zhang, Kang
    Wu, Zhiliang
    Yuan, Xia
    Zhao, Chunxia
    IET IMAGE PROCESSING, 2022, 16 (02) : 499 - 508