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首先提出基于非下采样Contourlet变换(NSCT,Nonsubsampled Contourlet Transform)的人眼视觉相对对比度灵敏度函数(RCSF,relative contrast sensitivity function)和绝对对比度灵敏度函数(ACSF,absolute contrast sensitivity function)。然后提出了基于人眼视觉对比度灵敏度函数(CSF,contrast sensitivityfunction)的遥感图像融合算法(IFA-CSF,image fusion algorithmof human visual contrast sensitivity function)。IFA-CSF采用NSCT作为多尺度变换工具,对单方向高频子带采用ACSF融合,对多方向高频子带采用RCSF融合,并对8方向高频子带采用先方向分组再融合的方法。实验结果表明,IFA-CSF优于基于传统CSF和基于局部能量的图像融合算法。
Firstly, the relative contrast sensitivity function (RCSF) and absolute contrast sensitivity function (ACSF) based on Nonsubsampled Contourlet Transform (NSCT) are proposed. Then, a fusion algorithm of human visual contrast sensitivity (IFA-CSF) based on human visual contrast sensitivity function (CSF) is proposed. IFA-CSF uses NSCT as a multi-scale transformation tool, adopts ACSF fusion for unidirectional high frequency subbands, RCSF fusion for multi-directional high frequency subbands, and first direction packet re-fusion for 8-direction high frequency subbands. The experimental results show that IFA-CSF outperforms traditional CSF-based and local energy-based image fusion algorithms.