Description: : 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
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