Abstract
摘要: 基于人类视觉系统和源图像特性，该文提出一种非下采样Contourlet域图像融合算法，并讨论了分解层数和方向分解数对融合结果的影响。低通子带引入闭环反馈策略自适应获取近似最优融合权值；高通子带则基于区域能量定义像素活性测度，以有效增强图像的对比度，并保持细节信息。实验结果表明：该文提出的图像融合新算法具有较好的鲁棒性，融合图像边缘的清晰度和连续性也较理想。 关键词: 图像融合; 非下采样Contourlets; 活性测度; 闭环反馈
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