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CNN_Fusion

于 2021-02-25 发布
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下载积分: 1 下载次数: 9

代码说明:

说明:  基于卷积神经网络的图像融合方法,首次将卷积神经网络应用到图像融合领域。(The image fusion method based on convolutional neural network is first applied to image fusion.)

文件列表:

boxfilter.m, 931 , 2013-10-04
CNN_Fusion.m, 7782 , 2018-12-24
guidedfilter.m, 957 , 2013-10-04
lowcnn.m, 358 , 2018-12-24
maxpooling_s2.m, 300 , 2016-01-28
model, 0 , 2018-12-19
model\cnnmodel.mat, 32429373 , 2016-02-03
README.txt, 1440 , 2018-06-18
results, 0 , 2018-12-24
results\clcok_decision.jpg, 9702 , 2018-12-19
results\clcok_decision_1.jpg, 9725 , 2018-12-19
results\clock.jpg, 19851 , 2018-12-19
results\fused_cnn.jpg, 24465 , 2018-12-19
results\fused_cnn.tif, 818656 , 2018-12-19
results\img1_decision.jpg, 15947 , 2018-12-19
results\lowpassfused.jpg, 10785 , 2018-12-24
Script.m, 348 , 2018-12-19
sourceimages, 0 , 2018-12-24
sourceimages\1left.jpg, 53193 , 2018-12-19
sourceimages\1right.jpg, 52409 , 2018-12-19
sourceimages\children_1.tif, 818672 , 2016-01-30
sourceimages\children_2.tif, 818656 , 2016-01-30
sourceimages\clock1.tif, 167703 , 2017-08-21
sourceimages\clock1_low_pass.jpg, 10451 , 2018-12-23
sourceimages\clock2.tif, 149501 , 2017-08-21
sourceimages\clock2_low_pass.jpg, 10501 , 2018-12-23

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    积分:1
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    说明:  采用自适应非局部降噪的算法对图像进行去噪处理,能够实现不同算法的降噪处理(Using adaptive non-local denoising algorithm to denoise image can achieve denoising processing of different algorithms.)
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    2009-01-21 21:46:51下载
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    ASIFT算法实现,C++,对有仿射变换的图像匹配更加准确,想比SIFT算子匹配点数多(ASIFT algorithm, C++, affine transformation of the image matching more accurate, want to match more than SIFT operator points)
    2021-05-06 23:28:36下载
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    2018-02-24 09:12:44下载
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    基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析,目前使用高维特征空间。目前,由于其良好的检测精度和较小的计算成本,它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)
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    2008-12-03 22:59:04下载
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    2020-11-08 10:59:48下载
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    2006-11-08 08:52:50下载
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