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本程序实现了基于对比金字塔的图像融合算法，效果还不错，可以参考一下。-This procedure contrast pyramid based on the implementation of image fusion algorithms, the effect was not bad, you can reference.
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图像融合。通过小波变换对图像进行分解，滤波，然后图像重构，对比前后图像的变化-Image fusion. Through the wavelet transform image decomposition, filtering, and image reconstruction, image contrast before and after the change
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文中的方法是把图像分块，小波分解得到低频分量、高频分量，然后计算每一块的对比度，把图像块划分为清晰块、模糊块，把清晰块和模糊块相邻的区域定义为边界区域，融合时，直接选取清晰块作为融合后的相应块，对于边界区域，在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then
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基于对比度的多分辨图像融合和CMAC的图像融合快速算法-Multi-resolution image based on contrast fusion and fast algorithm for image fusion CMAC
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本文阐述了基于主元分析的拉普拉斯金字塔图像融合的原理和方法:首先对原图像分别进行拉普拉斯
金字塔分解,然后分别对高频部分采用主元分析（PCA）法融合,对低频部分采用平均梯度法进行融合,最后对
拉普拉斯金字塔做反变换得到最终的融合图像。通过对可见光与红外图像的融合，以及对不同焦距图像融合
的结果分析，该算法比单纯的PCA和拉普拉斯图像融合能得到具有更多有用信息的高对比度的融合图像-In this paper, principal component analysis based on
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A fusion method for visible and infrared images based on contrast
pyramid with teaching learning based optimization
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Abstract—To overcome the difficulties of sub-band coefficients
selection in multiscale transform domain-based image fusion
and solve the problem of block effects suffered by spatial
domain-based image fusion, this paper presents a novel hybrid
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There has been a growing interest in image fusion
technologies, but how to objectively uate the quality of fused
images has not been fully understood. Here, we propose a method
for objective quality assessment of multiexposure multifocus
imag
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There are both multiple-scale and single scale exposure fusion
schemes. Three quality measures of proper exposure, good contrast,
and high saturation were used to determine how much a
given pixel will contribute to the final synthesized image(hat
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