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tuxiangronghe

于 2011-01-24 发布文件大小:147KB

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：介绍了一种基于小波变换的图像融合算法，它利用像素邻域平均梯度作为选择依据，对小波变换后的高频系数进行选择，再逆变换完成图像融合．通过对红外热图与可见光图像的融合实验表明：基于小波系数区域平均梯度的融合能使红外热图更加清晰，融合的图像光谱变异性较小，图像效果较好(: This paper presents a wavelet-based image fusion algorithm, which uses an average gradient of pixel neighborhood as selected on the basis of high frequency coefficients of wavelet transform to choose, and then inverse transform of image fusion. Through the infrared image and visible image fusion experiments show that: Based on the average gradient of wavelet coefficients of the regional integration of thermal infrared images can be more clarity, variability in integrated spectrum of images smaller, better image)

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一种基于小波变换的图像融合选择方案.pdf,157163,2011-01-10

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