LIANG Chen.The image fusion algorithm based on Curvelet transform coupling local energy[J].Journal of Yanbian University,2018,44(01):74-78.
基于Curvelet变换与局部能量的图像融合算法
- Title:
- The image fusion algorithm based on Curvelet transform coupling local energy
- 关键词:
- 图像融合; Curvelet变换; 局部能量; Curvelet系数
- 分类号:
- TP391
- 文献标志码:
- A
- 摘要:
- 针对当前图像融合算法中边缘与细节特征表达不理想的问题,提出一种新的基于Curvele变换与局部能量的图像融合算法.该方法首先在不同的分辨率下将源图像转换为Curvelet系数集,然后引入局部能量融合规则将Curvelet系数进行结合,最后通过逆Curvelet变换得到融合图像.实验表明:本文算法所得的融合图像细节丰富、边缘清晰,且算法能够抵抗一定噪声的干扰,具有一定的应用价值.
- Abstract:
- To solve the problem of unsatisfactory expression of edge and detail features in current image fusion algorithms, a new image fusion algorithm based on Curvelet transform and local energy is proposed. The method firstly converts the source image to a Curvelet coefficient set at different resolutions, then introduces local energy fusion rules, combines the Curvelet coefficients, and finally obtains a fused image through an inverse Curvelet transform. Experiments show that the fusion image obtained by this algorithm has rich details and clear edges, and the algorithm can resist the interference of certain noise, so the image fusion algorithm has a certain application value.
参考文献/References:
[1] 延翔,秦翰林,刘上乾.基于Tetrolet变换的图像融合[J].光电子·激光,2013,24(8):1629-1633.
[2] Bai Xiangzhi, Zhou Fugen,Xue Bindang. Fusion of infrated and visual images through region extraction by using multi-scale center-surround top-hat transform[J]. Optics Express, 2011,19(9):8444-8457.
[3] 冯鑫,王晓明,党建武,等.基于Shearlet变换的红外与可见光图像融合[J].光电子·激光,2013,24(2):384-390.
[4] 徐小军,王友仁,陈帅.基于下采样分数阶小波变换的图像融合新方法[J].仪器仪表学报,2014,35(9):2061-2069.
[5] 杨桄,童涛,陆松岩.基于多特征的红外与可见光图像融合[J].光学精密工程,2014,22(2):489-496.
[6] 王雷,李彬,田联房.基于平移不变剪切波变换的医学图像融合[J].华南理工大学学报(自然科学版),2011,39(12):13-19.
[7] 姜宇东,杨勤勇,何柯,等.基于曲波变换的地面微地震资料去噪方法研究[J].石油物探,2012,51(6):620-624.
[8] 马苗,万仁远,尹义龙.基于相似性灰关联的Curvelet域多聚焦图像融合[J].电子学报,2012,40(10):1984-1988.
[9] Candès E J, Demanet L, Donoho D L, et al. Fast discrete Curvelet transform[J]. Muticale Modeling and Simulation, 2016,5(3):861-899.
[10] 郭明,符拯,奚晓梁.基于局部能量的NSCT 域红外与可见光图像融合算法[J].红外与激光工程,2012,41(8):2229-2236.
[11] Chai Y, Li H F, Zhang X Y.Multi-focus image fusion based on features contrast of multi-scale products in non-Subsampled contourlet transform domain[J]. Optik-International Journal for Light and Electron Optics, 2012,123(7):569-581.
[12] 李华锋,柴毅,张晓阳.基于多尺度积视觉特性的多聚焦图像融合算法[J].控制与决策,2012,27(3):355-361.
[13] 赵青,何建华,温鹏.基于平均梯度和方向对比度的图像融合方法[J].计算机工程与应用,2012,48(24):165-168.
[14] Zhang X, Li X, Feng Y.A new image fusion performance measure using Riesz transforms[J]. Optik-International Journal for Light and Electron Optics, 2014,125(3):1427-1433.
备注/Memo
收稿日期: 2017-02-18
作者简介: 梁晨(1981—),男,讲师,研究方向为图像处理.