【摘要】 在研究图像融合基本方法的基础上,提出了一种基于小波变换的双匹配度并结合方向与区域能量的图像融合算法.对低频分量采用双匹配度的融合策略,对高频分量采用结合区域能量的带有方向性的加权算法.实验表明,图像融合算法使得低频部分的内容更详尽,而高频部分保留了有效的细节和边缘信息,最终使图像的清晰度更高.更多还原

【Abstract】 An image fusion algorithm with double-match degree union direction and region-energy is proposed based on Wavelet Transformation through the researching of several image fusion basic methods.The double-match degree fusion rule is adopted to the low frequency components,but the union direction and region energy weighting algorithm is used to the high frequency components.Experimental results show that the image fusion algorithm leads the information of the low-frequency part to be more particular,and the high-frequency part to reserve the useful detail and the edge information.And finally,the images have higher definition.更多还原