Multifocus image fusion scheme using focused region detection and multiresolution

被引:82
作者
Chai, Yi [1 ,2 ]
Li, Huafeng [1 ]
Li, Zhaofei [1 ]
机构
[1] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China
[2] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
基金
中国国家自然科学基金;
关键词
Image fusion; Multifocus image; Morphological opening and closing; Multiscale transform; NONSUBSAMPLED CONTOURLET TRANSFORM; LIFTING SCHEME; CONSTRUCTION; WAVELETS; DESIGN;
D O I
10.1016/j.optcom.2011.05.046
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
To solve the fusion problem of the multifocus images of the same scene, a novel algorithm based on focused region detection and multiresolution is proposed. In order to integrate the advantages of spatial domain-based fusion methods and transformed domain-based fusion methods, we use a technique of focused region detection and a new fusion method of multiscale transform (MST) to guide pixel combination. Firstly, the initial fused image is acquired with a novel multiresolution image fusion method. The pixels of the original images, which are similar to the corresponding initial fused image pixels, are considered to be located in the sharply focused regions. By this method, the initial focused regions can be determined, and the techniques of morphological opening and closing are employed for post-processing. Then the pixels within the focused regions in each source image are selected as the pixels of the fused image; meanwhile, the initial fused image pixels which are located at the focused border regions are retained as the pixels of the final fused image. The fused image is then obtained. The experimental results show that the proposed fusion approach is effective and performs better in fusing multi-focus images than some current methods. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:4376 / 4389
页数:14
相关论文
共 34 条
[1]   Fusion of multi-focus images using differential evolution algorithm [J].
Aslantas, V. ;
Kurban, R. .
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (12) :8861-8870
[2]   THE LAPLACIAN PYRAMID AS A COMPACT IMAGE CODE [J].
BURT, PJ ;
ADELSON, EH .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1983, 31 (04) :532-540
[3]   Image fusion scheme using a novel dual-channel PCNN in lifting stationary wavelet domain [J].
Chai, Y. ;
Li, H. F. ;
Qu, J. F. .
OPTICS COMMUNICATIONS, 2010, 283 (19) :3591-3602
[4]   Nonlinear wavelet transforms for image coding via lifting [J].
Claypoole, RL ;
Davis, GM ;
Sweldens, W ;
Baraniuk, RG .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2003, 12 (12) :1449-1459
[5]  
COIFMAN RP, 1955, WAVELETS STAT, P125
[6]   Region-based multimodal image fusion using ICA bases [J].
Cvejic, Nedeljko ;
Bull, David ;
Canagarajah, Nishan .
IEEE SENSORS JOURNAL, 2007, 7 (5-6) :743-751
[7]   A Nonreference Image Fusion Metric Based on the Regional Importance Measure [J].
Cvejic, Nedeljko ;
Seppanen, Tapio ;
Godsill, Simon J. .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2009, 3 (02) :212-221
[8]   The nonsubsampled contourlet transform: Theory, design, and applications [J].
da Cunha, Arthur L. ;
Zhou, Jianping ;
Do, Minh N. .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (10) :3089-3101
[9]   Enhancing effective depth-of-field by image fusion using mathematical morphology [J].
De, Ishita ;
Chanda, Bhabatosh ;
Chattopadhyay, Buddhajyoti .
IMAGE AND VISION COMPUTING, 2006, 24 (12) :1278-1287
[10]   The contourlet transform: An efficient directional multiresolution image representation [J].
Do, MN ;
Vetterli, M .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2005, 14 (12) :2091-2106