全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于二代Curvelet变换的红外与可见光图像融合

Keywords: 图像融合,Curvelet变换,目标探测,红外图像,可见光图像

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对红外与可见光成像传感器的物理特性,提出了一种基于二代Curvelet变换的图像融合算法.首先对原始图像分别进行快速离散Curvelet变换,得到不同尺度与方向下的子带系数.对低频子带系数,根据红外图像的目标特性与可见光图像的细节信息确定其融合权值;对不同尺度与方向下的高频子带系数,采用基于局部区域能量匹配的融合规则.最后经Curvelet逆变换得到融合结果.实验结果表明,该算法可以有效地综合可见光与红外图像中的重要信息,其融合结果较典型的基于塔式分解与基于小波变换的图像融合算法,在主观视觉效果与客观评价指标上均有所改善.

References

[1]  【1】Toet A, Ijspeert J K, Waxman A M, et al. Fusion of visible and thermal imagery improves situational awareness[J]. Displays, 1997, 18 (2):85—95.
[2]  【2】DENG Lei, CHEN Yun-Hao, LI Jing. Controllable remote sensing image fusion method based on wavelet transform [J]. J. Infrared Millim. Waves (邓磊, 陈云浩, 李京.一种 基于小波变换的可调节遥感影像融合方法. 红外与毫米 波学报 ), 2005, 24 (1):34—38.
[3]  【3】Otazu X, Gonzalez-Audicana M, Fors O, et al. Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43 (10):2376— 2385.
[4]  【4】Candès E, Demanet L, Donoho D, et al . Fast discrete curvelet transforms[J]. Multiscale Modeling & Simulation, 2006, 5 (3):861—899.
[5]  【5】WANG Guo-You, ZOU Yu-Lan, LING Yong. An algorithm for salience-based local recursive OTSU segmentation[J]. Journal of Huazhong University of Science and Technology (Nature Science Edition) (汪国有, 邹玉兰, 凌勇.基于显 著性的OTSU局部递归分割算法. 华中科技大学学报 (自然科学版) ), 2002, 30 (9):57—59.
[6]  【6】ZHANG Tian-Xu, ZHAO Guang-Zhou, WANG Fei, et al . Fast recursive algorithm for infrared ship image segmentation [J]. J. Infrared Millim. Waves (张天序, 赵广州, 王飞, 等.一种快速递归红外舰船图像分割新算法. 红外与毫 米波学报 ), 2006, 25 (4):295—300.
[7]  Burt P J,Kolczynski R J. Enhanced image capture through fusion[C]. Proceedings of 4th International Conference on Computer Vision. Berlin:Germany,1993:173-182. [8]LIU Gui-Xi,ZHAO Shu-Guang,YANG Wan-Hai. Multisensor image fusion scheme based on gradient pyramid decomposition[J]. Journal of Optoelectronics·Laser (刘贵 喜,赵曙光,杨万海.基于梯度塔形分解的多传感器图像 融合.光电子·激光 ),2001,12(3):293-296.
[8]  【8】Pajares G, de la Cruz J M. A wavelet-based image fusion tutorial[J]. Pattern Recognition, 2004, 37 (9):1855— 1872.
[9]  【9】Zhou Wang, Bovika A C. A universal image quality index [J]. IEEE Signal Processing Letters, 2002, 9 (3):81—84.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133