基于四阶相关系数的NSCT域红外与可见光图像融合  

Fusion of infrared and visible light images based on the fourth-order correlation coefficient in NSCT domain

作　　者：杨如红 邵振峰[1] 张磊[1] 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079

出　　处：《激光与红外》2014年第9期1055-1059,共5页Laser & Infrared

基　　金：国家973计划资助项目(No.2010CB731801);国家自然科学基金资助项目(No.61172174);国家重大设备专项资助项目(No.2012YQ16018505);国家科技支撑计划资助项目(No.2013BAH42F03);深圳市科技研发资金项目(No.JCYJ20120618162928009);省部产学研结合项目(No.2012B090500016);教育部新世纪优秀人才基金项目(No.NCET12

摘　　要：采用非下采样Contourlet变换(NSCT)模型提出了基于四阶相关系数的红外与可见光图像融合方法。首先对融合图像进行多尺度和多方向分解;对于低频分量,充分考虑红外和可见光图像物理特性的差异,采用基于区域平均梯度的融合策略;对高频分量采用四阶相关系数匹配策略来选择合适的高频系数;最后对融合后的系数进行NSCT逆变换得到融合图像。实验结果表明,该融合算法能更好地保留目标信息,同时也显著地提高了图像的信息量,在主观视觉效果和客观评价方面具有较好的融合性能。In this paper,a new method based on nonsubsampled contourlet transform （NSCT）is proposed to fuse the infrared image and the visible light image.Firstly,the NSCT is performed on the original images to obtain the sub-bands coefficient in different scales and various directions.Considering the physical characteristics of two original im-ages,fusion strategy based on the regional average gradient is used for the low frequency sub-band coefficients.For the high frequency sub-band coefficients,the fourth-order correlation coefficient match strategy is used to select the suitable high-frequency coefficients.Finally,the fused coefficients are reconstructed to obtain the fused image.The experiment results show that the proposed method performs better in keeping and improving the target information,and it has better fusion performance in subjective visual effect and objective evaluation.

关 键 词：非下采样轮廓波变换(NSCT) 图像融合 红外和可见光图像 四阶相关系数 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]