摘要
鉴于偏振图像能够增强目标特性识别的特点,提出了可见光下景物偏振信息采集的偏振系统及偏振图像的小波融合算法.在小波系数的低通子带选用基于窗口能量的融合规则,高通子带选用窗口空间频率的自适应加权融合规则.其中自相关函数的设定、模拟退火优化算法的应用提高了融合算法的鲁棒性和自适应性,融合后的图像具有良好的主观视觉效果及客观评价性能,目标与背景的对比度得到显著增强.
In consideration of the characteristic of polarization image which can enhance the target identification,a polarization system in visible light and the dual-tree complex wavelet transform（DTCWT） fusion algorithm of polarization image were proposed.In the low-pass sub-band of wavelet coefficients,the fuse rule based window energy was adopted,and in the high-pass sub-band,the rule of spatial frequency self-adaption weighted at window was selected.The setting of autocorrelation and the application of simulated annealing algorithm improved the robustness and adaptability of fusion.The results show that the fused image has good subjective quality and objective evaluation of performance which will enhance the target and background contrast.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2011年第1期132-135,共4页
Acta Photonica Sinica
基金
部委预研:红外偏振××技术资助(No.62301020303)
江苏省"青蓝工程"基金
教育部重点实验室开放基金(No.2010OEIOF14)
高等学校博士学科点专向科研基金(No.20103219120016)资助
关键词
偏振系统
小波融合算法
自相关函数
模拟退火优化算法
Polarization system
Wavelet fusion algorithm
Autocorrelation function
Simulated annealing algorithm
