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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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代码说明：

  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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  • KalmanFilter
    卡尔曼滤波的一个典型实例是从一组有限的，包含噪声的，对物体位置的观察序列（可能有偏差）预测出物体的位置的坐标及速度。在很多工程应用(如雷达、计算机视觉)中都可以找到它的身影。同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要课题。(A typical example of the Kalman filter, from a limited set, containing the noise, the position of the object observed sequence (there may be deviation) to predict the coordinates of the location and speed of the object. Its presence can be found in many engineering applications (such as radar, computer vision). Meanwhile, the Kalman filter is control theory, and control is an important topic in systems engineering.)
    2012-08-21 10:54:02下载
    积分：1
  • VCPP-image-processing-chapter06
    VisualC++数字图像处理技术详解第2版光盘-第六章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter VI)
    2016-04-16 13:34:28下载
    积分：1
  • nc_read
    批量读取某一文件夹下的所有地表潜热通量数据（.NC格式），全球数据，转换为TIFF栅格格式。遥感数据批处理。(Read surface laten heat flux data (.nc) to geotiiff format.)
    2017-08-29 09:48:49下载
    积分：1
  • Demo_test_DnCNN
    说明：  前馈神经网络图像去噪，DnCNN的MATLB实现，以及相应的峰值信噪比和结构相似性的计算。(DnCNN,MATLAB,And calculation of peak signal-to-noise ratio structural similarity)
    2020-03-22 09:36:57下载
    积分：1
  • SVD
    数字水印，用于数字图像的加密，基于SVD的加密算法(Digital Watermarking)
    2020-07-04 14:00:02下载
    积分：1
  • 4
    说明：  MTLAB编写的程序，包括形态学梯度检测二值图像的边缘、用水线阈值法分割图像等。(MTLAB preparation procedures, including detection of morphological gradient binary image of the edge of the water line thresholding segmentation images.)
    2008-05-06 09:59:34下载
    积分：1
  • Gabor-Matlab1
    gabor小波变换提取图像纹理信息，得到一维向量。(gabor wavelet transform to extract image texture information)
    2013-01-11 16:12:24下载
    积分：1
  • Image-Fusion-Performance
    说明：  这个matlab代码，用于测试图像融合函数的算法性能。输入两幅原始图像和融合以后的图像，函数将评价出该算法的性能。(The matlab code, for testing image fusion algorithm function. Input the original image and the integration of two subsequent images, the function will evaluate the performance of the algorithm.)
    2008-11-30 13:04:25下载
    积分：1
  • Gamma-correction
    对图像进行伽马校正，可以有效提升图像 亮度和对比度，低于低照度图像现在小于1的参数，对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness image, the selection of parameters greater than 1 can effectively adjust the brightness of the image.)
    2021-02-10 20:19:52下载
    积分：1
  • fanyanjiexi
    说明：  仿真获取四幅互差半个像素的低分辨率图像，利用反演解析算法重建出一副高分辨率图像，属于亚像元技术或者超分辨率技术。(Simulation Interoperability poor access to four half-pixel low-resolution images, the use of inversion algorithm for the reconstruction of an analytic high-resolution images, belong to sub-pixel super-resolution technology or technology.)
    2008-10-01 10:07:51下载
    积分：1
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