摘要
非降采样轮廓波变换(NSCT)不仅具有平移不变性,还拥有足够的冗余信息,可以更有效地提取源图像中的方向信息,使得融合后的图像更符合人眼的视觉特性。利用NSCT在图像处理中的优势,针对红外光与可见光图像的融合,提出了一种新的基于改进的区域能量和图像自相似的NSCT域图像融合算法。首先,利用NSCT将图像分解为一个低频子带和多个不同方向的带通子带;然后,对低频子带采用区域能量自适应加权融合规则,带通方向子带则利用图像自相似进行系数的融合;最后,对融合系数进行NSCT逆变换,以重构生成融合图像。实验结果表明:与一些现有算法相比,该算法的图像融合结果在人眼主观视觉标准和客观评价标准上均具有明显优势。
Nonsubsampled contourlet transform（NSCT） not only has translation invariance,but also has sufficient redundancy information,and it can more effectively extract direction information from source image,so that the fused image is more consistent with human visual characteristics.A new image fusion algorithm for visible-infrared image based on improved region energy and image self-similarity in NSCT domain is proposed.The two source images are decomposed into low-frequency subbands and high-frequency subbands by NSCT.As for the low frequency subband coefficients,an regional energy adaptive weighting image fusion algorithm is presented;while as for the high-frequency subband coefficients,based on self-similarity.Fusion coefficients are reconstructed by inverse NSCT to reconstruct to form fusion image.Compared with some existing algorithms,the proposed fusion algorithm results has obvious advantages in the human eye subjective visual standards and objective evaluation criteria.
出处
《传感器与微系统》
CSCD
2017年第5期74-76,79,共4页
Transducer and Microsystem Technologies
基金
江苏省博士后基金资助项目(1302027C)
江苏省高校自然科学研究面资助项目(15KJB510008)
作者简介
龚淼（1991-），女，硕士研究生，研究方向为计算机视觉与图像处理。
李垣江（1981-），男，通讯作者，博士研究生，讲师，研究方向为信号与图像处理、计算机视觉、故障诊断，E-mill：gongmiaogm@126．com。
