基于小波变换的图像数据融合方法OACSCDCSTPCD
Data fusion for image based on wavelet transform
提出一种基于小波变换的图像数据融合方法。原始图像经过小波变换，分解成亮度子图像和边缘子图像，对分解后的子图像进行分块处理，根据局部区域方差准则计算融合系数，对每个子块图像进行数据融合，最后重建图像。实验结果表明，本文方法具有很好的一致性。
A new image fusion method is presented based on wavelet transform. In this method the original image is transformed into bright sub-image and edge sub-image by wavelet transform. Each sub-image is divided into sub-clocks, and fusion coefficient is computed according to local area square error rule, and data fusion is processed to each sub-clocks, then fusion image is reconstructed. Experimental results show that this method is consistent with image fusion.
孙辉
中国科学院长春光学精密机械与物理研究所,吉林,长春,130021
信息技术与安全科学
小波变换数据融合多源信息
wavelet transformimage fusionmulti-source information
《光学精密工程》 2000 (6)
551-553,3
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