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图像融合代码

于 2021-02-18 发布 文件大小:12037KB
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  整理了五种多曝光图像融合的代码，用于图像处理，图像去雾，有英文介绍(Five kinds of multi-exposure image fusion codes are sorted out.For image processing, image defogging, with English introduction)

文件列表：

gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\91.jpg, 427839 , 2018-03-26
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\98.bmp, 720056 , 2018-03-26
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\amef.m, 1022 , 2019-04-26
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\ChannelNorm.m, 1027 , 2017-12-13
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\dehazing_1.png, 127799 , 2018-03-05
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\dehazing_2.png, 225214 , 2018-03-05
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\dehazing_3.png, 241337 , 2018-03-05
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\dehazing_4.png, 151863 , 2018-03-05
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\Demo.m, 3274 , 2019-04-26
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\descriptions\ReadMe.pdf, 21295 , 2017-12-13
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\getFusedGradients.m, 1723 , 2017-12-13
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\getGradientH.m, 957 , 2017-12-13
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\GradientFusion.m, 4235 , 2019-04-25
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\LICENSE, 1067 , 2017-12-13
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\README.md, 1763 , 2017-12-13
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\ReconstructGradient.m, 38526 , 2017-12-13
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\results_1.jpg, 27627 , 2019-04-26
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\results_2.jpg, 28125 , 2019-04-26
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\results_3.jpg, 24603 , 2019-04-26
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\results_4.jpg, 20440 , 2019-04-26
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\results_5.jpg, 16641 , 2019-04-26
gradient-domain-imagefusion-master\gradient-domain-imagefusion-master\results_6.jpg, 50396 , 2019-04-26
Image-fusion-master\Image-fusion-master\imgFusion.m, 2997 , 2017-06-30
Image-fusion-master\Image-fusion-master\normalizeWeights.m, 206 , 2017-06-30
Image-fusion-master\Image-fusion-master\README.md, 334 , 2017-06-30
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\demo.m, 1098 , 2019-04-25
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\fusion_pyramid.m, 958 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\get_weight1.m, 620 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\get_weight2.m, 596 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\load_images.m, 1783 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\pyramid_decomposition\downsample.m, 633 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\pyramid_decomposition\gaussian_pyramid.m, 545 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\pyramid_decomposition\laplacian_pyramid.m, 1041 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\pyramid_decomposition\pyramid_filter.m, 252 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\pyramid_decomposition\reconstruct_laplacian_pyramid.m, 674 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\pyramid_decomposition\upsample.m, 846 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\refine_weight.m, 180 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\result.png, 271800 , 2019-04-25
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\rgb2lum.m, 289 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\save_weight.m, 216 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\functions\wlsFilter.m, 2345 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\image_sequence\1.png, 127799 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\image_sequence\2.png, 225214 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\image_sequence\3.png, 241337 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\image_sequence\4.png, 151863 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\result.png, 271800 , 2019-04-26
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\code\test_eval.m, 3326 , 2019-04-26
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\README.md, 483 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\result2_Tower.png, 1231047 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\result2_Venice.png, 1192592 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Tower\Tower_Gu12.png, 328159 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Tower\Tower_Li12.png, 354055 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Tower\Tower_Li13.png, 318577 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Tower\Tower_Ma15.png, 316060 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Tower\Tower_Mertens07.png, 314711 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Tower\Tower_proposed.png, 311969 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Tower\Tower_Raman09.png, 264595 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Tower\Tower_Shutao Li12.png, 309676 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Venice\Venice_Gu12.png, 335120 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Venice\Venice_Li12.png, 338802 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Venice\Venice_Li13.png, 307357 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Venice\Venice_Ma15.png, 305503 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Venice\Venice_Mertens07.png, 304540 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Venice\Venice_proposed.png, 291868 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Venice\Venice_Raman09.png, 250019 , 2018-03-05
multi-exposure-image-fusion-master\multi-exposure-image-fusion-master\results\Venice\Venice_Shutao Li12.png, 282917 , 2018-03-05
边界约束与语境正则化\Airlight.m, 2165 , 2014-02-17
边界约束与语境正则化\Boundcon.m, 1469 , 2014-02-17
边界约束与语境正则化\CalTransmission.m, 2913 , 2014-02-17
边界约束与语境正则化\Dehazefun.m, 1185 , 2014-02-17
边界约束与语境正则化\demo.m, 1601 , 2019-04-20
边界约束与语境正则化\examples\sam_1.bmp, 199545 , 2011-08-19
边界约束与语境正则化\examples\sam_2.bmp, 720054 , 2011-04-06
边界约束与语境正则化\examples\sam_3.bmp, 941454 , 2011-09-02
边界约束与语境正则化\examples\sam_4.bmp, 810056 , 2008-10-08
边界约束与语境正则化\examples\sam_5.bmp, 811256 , 2008-10-02
边界约束与语境正则化\examples\sam_6.bmp, 717654 , 2011-09-02
边界约束与语境正则化\examples\Thumbs.db, 25600 , 2014-02-14
FusionEnhance\Matlab Codes\.DS_Store, 6148 , 2017-03-04
FusionEnhance\Matlab Codes\autolevel.m, 2027 , 2017-02-11
FusionEnhance\Matlab Codes\bilateralFilter.m, 6703 , 2017-02-11
FusionEnhance\Matlab Codes\boxfilter.m, 931 , 2017-02-11
FusionEnhance\Matlab Codes\gaussian_pyramid.m, 283 , 2017-02-11
FusionEnhance\Matlab Codes\guidedfilter.m, 1027 , 2017-02-11
FusionEnhance\Matlab Codes\lab_to_rgb.m, 90 , 2017-02-11
FusionEnhance\Matlab Codes\laplacian_pyramid.m, 395 , 2017-02-11
FusionEnhance\Matlab Codes\load_image.m, 158 , 2017-03-04
FusionEnhance\Matlab Codes\main.m, 2900 , 2019-04-20
FusionEnhance\Matlab Codes\main_test_diff_weights.m, 2845 , 2017-02-11
FusionEnhance\Matlab Codes\main_using_optimized.m, 2812 , 2017-02-11
FusionEnhance\Matlab Codes\maxfilt2.m, 1849 , 2017-02-11
FusionEnhance\Matlab Codes\pyramid_reconstruct.m, 308 , 2017-02-11
FusionEnhance\Matlab Codes\rgb_to_lab.m, 90 , 2017-02-11
FusionEnhance\Matlab Codes\saliency_detection.m, 2484 , 2017-03-04
FusionEnhance\Matlab Codes\SimplestColorBalance.m, 1749 , 2017-02-11
FusionEnhance\Matlab Codes\test.m, 1466 , 2017-02-11
FusionEnhance\Matlab Codes\UICM.m, 777 , 2017-02-11
FusionEnhance\Matlab Codes\UIConM.m, 1881 , 2017-02-11
FusionEnhance\Matlab Codes\UIQM.m, 170 , 2017-02-11
FusionEnhance\Matlab Codes\UISM.m, 2093 , 2017-02-11

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0 个回复

  • toolbox-for-dimensionality-reduction
    一个关于数据降维的工具包，外国牛人编写，囊括了各种降维方法，是一个很好的工具！(A tool for data reduction package, foreign cattle were written, include a variety of dimension reduction method is a good tool!)
    2011-09-22 15:13:47下载
    积分：1
  • FusionCode1
    针对多聚焦图像融合，本文首先介绍了小波变换融合算法，虽然小波变换方法无冗余，高频分量损失较小，具有较好的融合效果，但存在两个主要缺点：一是移变性，二是融合图像在重构时会受到一些外来因素的影响，所以仍会丢失一些边缘信息，为了克服小波变换法的以上缺点，可以采用基于小波分解和点扩展函数模型PSF相结合的融合方法。该方法首先对不同的图像进行无降2采样的小波分解，以保持与源图像大小相同，然后分别将其各方向、各尺度的高频分量进行叠加，并依此提取其高频分量的特征信息来判定清晰目标或模糊目标，以此来设计融合算法，采用一定的策略将两副源图像进行融合，从而避开了小波的反变换，因此融合后的图像具有比小波变换法更好的融合效果。(multi-focus image fusion, this paper introduces the wavelet transform algorithm, Although the wavelet transform non-redundant, the loss of high-frequency components are smaller, better integration effect, But there are two major drawbacks : First, the shift variability and the second is the integration of image reconstruction will be subject to a number of external factors. Therefore, there would still be some marginal loss of information, in order to overcome the wavelet transform of the above shortcomings, can be used based on wavelet decomposition and the point spread function PSF model combining the fusion method. The first pair of different images ratchet two sampling wavelet decomposition, and to maintain the same source image size. Then all of its direction, the scale of high-freque)
    2007-05-11 00:36:13下载
    积分：1
  • DIP(Visual-CPP)
    本书主要讲述如何使用Visual C++进行数字图像处理。全书对常用的数字图像处理算法进行了介绍。(This book focuses on how to use Visual C++ digital image processing. The book is commonly used digital image processing algorithms were introduced.)
    2016-02-19 23:25:32下载
    积分：1
  • yuandaima
    以多光谱数据为原始数据，通过空间变换、滤波、融合、纹理及图像处理等手段，提取遥感图像多维、多尺度特征，最终建立面向目标检测、识别和分析的特征空间，并使用NASA的实测数据对方法的性能进行验证和分析。(Multi-spectral data to the original data, through space conversion, filtering tools, integration, texture and image processing, remote sensing images to extract multi-dimensional, multi-scale features, for the eventual establishment of target detection, identification and analysis of the characteristics of the space, and measured using NASA performance of the method for data verification and analysis.)
    2014-03-11 16:27:57下载
    积分：1
  • automsft
    该程序初始时使用背景差分法自动检测目标，当目标完全进入图像中后，改用meanshift方法对目标进行跟踪。(the program use background subtraction to detect the target first,when the target fully enter the screen,change to meanshift method to track the target.)
    2010-08-04 15:03:44下载
    积分：1
  • removecloud
    IDL程序，采用光谱融合法对遥感影像进行去云处理。(IDL procedures, the use of spectral fusion of remote sensing images to cloud processing.)
    2020-12-13 15:59:15下载
    积分：1
  • Gray_Scale_Morphological
    用matlab语言实现图像的腐蚀和膨胀，不是用自带函数(Language with matlab image erosion and dilation, not with their own function)
    2011-10-30 20:34:29下载
    积分：1
  • 程序
    说明：  InSAR数据处理研究，其中采用最小二乘和质量图指导两种相位解缠方法(The research of InSAR Data processing)
    2020-06-29 08:20:02下载
    积分：1
  • NSCTimagefusion
    NSCT轮廓波变换程序，用于图像融合，有图有解释说明(NSCT image fusion)
    2020-09-02 16:58:08下载
    积分：1
  • Zhang-Suen-thinning-algorithm_main
    二值图像的Zhang快速并行细化算法，具有速度快、保持细化后曲线的连通性和无毛刺产生等优点。(Zhang fast parallel thinning algorithm)
    2018-04-20 09:51:53下载
    积分：1
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