Multi-Focus Image Region Fusion and Registration Algorithm with Multi-Scale Wavelet

被引:10
作者
Liu, Hai [1 ]
Zhou, Xiangchao [2 ,3 ]
机构
[1] Guangdong Polytech Sci & Technol, Guangzhou 510663, Peoples R China
[2] Hunan Agr Univ, Changsha 410125, Peoples R China
[3] Shenzhen Intelligent Sichuang Technol Co Ltd, Shenzhen 518015, Peoples R China
关键词
Multi-scale; multi-focus image; fusion registration; wavelet decomposition;
D O I
10.32604/iasc.2020.012159
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Aiming at the problems of poor brightness control effect and low registration accuracy in traditional multi focus image registration, a wavelet multi-scale multi focus image region fusion registration method is proposed. The multi-scale Retinex algorithm is used to enhance the image, the wavelet decomposition similarity analysis is used for image interpolation, and the EMD method is used to decompose the multi focus image. Finally, the image reconstruction is completed and the multi focus image registration is realized. In order to verify the multi focus image fusion registration effect of different methods, a comparative experiment was designed. Experimental results show that the proposed method can control the image brightness in a reasonable range, the root mean square error of image region fusion registration algorithm is less than 5, and the image registration accuracy is high. This method can achieve multi focus image region fusion registration.
引用
收藏
页码:1493 / 1501
页数:9
相关论文
共 15 条
[1]   Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task [J].
Brock, Kristy K. ;
Mutic, Sasa ;
McNutt, Todd R. ;
Li, Hua ;
Kessler, Marc L. .
MEDICAL PHYSICS, 2017, 44 (07) :E43-E76
[2]  
[陈清江 Chen Qingjiang], 2016, [激光与红外, Laser and Infrared], V46, P890
[3]   Remote-sensing image fusion based on curvelets and ICA [J].
Ghahremani, Morteza ;
Ghassemian, Hassan .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (16) :4131-4143
[4]   High quality multi-focus image fusion using self-similarity and depth information [J].
Guo, Di ;
Yan, Jingwen ;
Qu, Xiaobo .
OPTICS COMMUNICATIONS, 2015, 338 :138-144
[5]  
[侯雪 Hou Xue], 2016, [海洋通报, Marine Science Bulletin], V35, P38
[6]  
Jia Y. M., 2018, COMPUTER SIMULATION, V34, P251
[7]   Multiscale contrast direction adaptive image fusion technique for MWIR-LWIR image pairs and LWIR multifocus infrared images [J].
Karali, A. Onur ;
Cakir, Serdar ;
Aytac, Tayfun .
APPLIED OPTICS, 2015, 54 (13) :4172-4179
[8]  
Ke P., 2019, MULTIMEDIA SYSTEMS, V23, P239
[9]  
Li Y. J., 2016, INFRARED LASER ENG, V45, P276
[10]   Image fusion via nonlocal sparse K-SVD dictionary learning [J].
Li, Ying ;
Li, Fangyi ;
Bai, Bendu ;
Shen, Qiang .
APPLIED OPTICS, 2016, 55 (07) :1814-1823