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sparse_fusion

于 2020-10-06 发布 文件大小:5202KB
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  运用最小二乘和一范数约束求解低分辨率多光谱图像和高分辨率全色图像融合成高分辨率多光谱图像，程序附带主流的图像融合评价标准，需要融合的图像，对比图像；以及附带程序所需的稀疏包(Using least squares and a norm constraint solving low-resolution multi-spectral image and panchromatic image fusion into a high-resolution multi-spectral images, the program comes with mainstream image fusion uation criteria require the integration of image contrast image and Sparse package comes with the program required)

文件列表：

sparse_fusion




.............\spams-matlab
.............\............\build
.............\............\.....\displayPatches.m,1296,2013-11-29
.............\............\.....\mexArchetypalAnalysis.m,406,2014-06-14
.............\............\.....\mexArchetypalAnalysis.mexw64,154112,2015-03-27
.............\............\.....\mexBayer.m,311,2012-05-20
.............\............\.....\mexBayer.mexw64,27136,2015-03-27
.............\............\.....\mexCalcAAt.m,381,2012-03-15
.............\............\.....\mexCalcAAt.mexw64,78336,2015-03-27
.............\............\.....\mexCalcXAt.m,414,2012-03-15
.............\............\.....\mexCalcXAt.mexw64,78848,2015-03-27
.............\............\.....\mexCalcXtY.m,267,2012-03-15
.............\............\.....\mexCalcXtY.mexw64,52736,2015-03-27
.............\............\.....\mexCalcXY.m,264,2012-03-15
.............\............\.....\mexCalcXY.mexw64,52736,2015-03-27
.............\............\.....\mexCalcXYt.m,267,2012-03-15
.............\............\.....\mexCalcXYt.mexw64,52736,2015-03-27
.............\............\.....\mexCD.m,2197,2012-03-15
.............\............\.....\mexCD.mexw64,105984,2015-03-27
.............\............\.....\mexCombinePatches.m,437,2014-05-19
.............\............\.....\mexCombinePatches.mexw64,66560,2015-03-27
.............\............\.....\mexConjGrad.m,559,2012-03-15
.............\............\.....\mexConjGrad.mexw64,55808,2015-03-27
.............\............\.....\mexConvFista.mexw64,828416,2015-03-27
.............\............\.....\mexConvFistaFlat.m,441,2014-05-19
.............\............\.....\mexCountConnexComponents.m,833,2012-05-20
.............\............\.....\mexCountConnexComponents.mexw64,65024,2015-03-27
.............\............\.....\mexCountPathsDAG.m,471,2012-05-20
.............\............\.....\mexCountPathsDAG.mexw64,62464,2015-03-27
.............\............\.....\mexDecompSimplex.m,338,2014-06-14
.............\............\.....\mexDecompSimplex.mexw64,123904,2015-03-27
.............\............\.....\mexEvalPathCoding.m,1930,2012-05-20
.............\............\.....\mexEvalPathCoding.mexw64,423424,2015-03-27
.............\............\.....\mexExtractPatches.m,304,2014-05-19
.............\............\.....\mexExtractPatches.mexw64,59392,2015-03-27
.............\............\.....\mexFistaFlat.m,6608,2014-06-16
.............\............\.....\mexFistaFlat.mexw64,833536,2015-03-27
.............\............\.....\mexFistaGraph.m,3608,2012-05-20
.............\............\.....\mexFistaGraph.mexw64,816128,2015-03-27
.............\............\.....\mexFistaPathCoding.m,3536,2012-05-20
.............\............\.....\mexFistaPathCoding.mexw64,814080,2015-03-27
.............\............\.....\mexFistaTree.m,3742,2012-05-20
.............\............\.....\mexFistaTree.mexw64,816640,2015-03-27
.............\............\.....\mexGraphOfGroupStruct.m,568,2013-06-24
.............\............\.....\mexGraphOfGroupStruct.mexw64,71680,2015-03-27
.............\............\.....\mexGroupStructOfString.m,1743,2013-06-24
.............\............\.....\mexGroupStructOfString.mexw64,52736,2015-03-27
.............\............\.....\mexIncrementalProx.m,2975,2013-12-04
.............\............\.....\mexIncrementalProx.mexw64,516096,2015-03-27
.............\............\.....\mexInvSym.m,221,2012-03-15
.............\............\.....\mexInvSym.mexw64,53248,2015-03-27
.............\............\.....\mexL1L2BCD.m,1913,2012-03-15
.............\............\.....\mexL1L2BCD.mexw64,92672,2015-03-27
.............\............\.....\mexLasso.m,2843,2012-05-18
.............\............\.....\mexLasso.mexw64,184832,2015-03-27
.............\............\.....\mexLassoMask.m,2367,2012-05-15
.............\............\.....\mexLassoMask.mexw64,146944,2015-03-27
.............\............\.....\mexLassoWeighted.m,2333,2012-03-15
.............\............\.....\mexLassoWeighted.mexw64,126464,2015-03-27
.............\............\.....\mexNormalize.m,249,2012-03-15
.............\............\.....\mexNormalize.mexw64,55296,2015-03-27
.............\............\.....\mexOMP.m,2380,2012-05-20
.............\............\.....\mexOMP.mexw64,125440,2015-03-27
.............\............\.....\mexOMPMask.m,2331,2012-05-20
.............\............\.....\mexOMPMask.mexw64,147456,2015-03-27
.............\............\.....\mexProximalFlat.m,4942,2012-07-20
.............\............\.....\mexProximalFlat.mexw64,545280,2015-03-27
.............\............\.....\mexProximalGraph.m,3397,2012-05-20
.............\............\.....\mexProximalGraph.mexw64,547328,2015-03-27
.............\............\.....\mexProximalPathCoding.m,2187,2012-05-20
.............\............\.....\mexProximalPathCoding.mexw64,546816,2015-03-27
.............\............\.....\mexProximalTree.m,5756,2012-06-13
.............\............\.....\mexProximalTree.mexw64,547840,2015-03-27
.............\............\.....\mexReadGroupStruct.m,1404,2013-06-24
.............\............\.....\mexReadGroupStruct.mexw64,65536,2015-03-27
.............\............\.....\mexRemoveCyclesGraph.m,881,2012-05-20
.............\............\.....\mexRemoveCyclesGraph.mexw64,67584,2015-03-27
.............\............\.....\mexRidgeRegression.m,1235,2013-08-01
.............\............\.....\mexRidgeRegression.mexw64,117248,2015-03-27
.............\............\.....\mexSimpleGroupTree.m,585,2013-06-24
.............\............\.....\mexSimpleGroupTree.mexw64,34816,2015-03-27
.............\............\.....\mexSOMP.m,2035,2012-03-15
.............\............\.....\mexSOMP.mexw64,118784,2015-03-27
.............\............\.....\mexSort.m,217,2012-03-15
.............\............\.....\mexSort.mexw64,22016,2015-03-27
.............\............\.....\mexSparseProject.m,2097,2012-03-22
.............\............\.....\mexSparseProject.mexw64,80384,2015-03-27
.............\............\.....\mexStochasticProx.m,2997,2013-12-04
.............\............\.....\mexStochasticProx.mexw64,531456,2015-03-27
.............\............\.....\mexStructTrainDL.m,5298,2013-06-24
.............\............\.....\mexStructTrainDL.mexw64,557056,2015-03-27
.............\............\.....\mexTrainDL.m,5619,2012-05-20
.............\............\.....\mexTrainDL.mexw64,221184,2015-03-27
.............\............\.....\mexTrainDL_Memory.m,4568,2012-05-15
.............\............\.....\mexTrainDL_Memory.mexw64,132608,2015-03-27

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    SSIM函数。一种衡量两幅图像相似度的新指标，其值越大越好，最大为1。(SSIM function. A measure of image similarity two new indicators, the greater its value better, a maximum of 1.)
    2013-10-14 09:51:31下载
    积分：1
  • Texture
    对于图像不同纹理特征值（能量、熵、惯性矩、相关）的提取(For different image texture feature value (energy, entropy, moment of inertia, related) extraction)
    2015-04-22 20:46:25下载
    积分：1
  • im_MSfilter
    基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 (Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing)
    2009-06-11 16:45:22下载
    积分：1
  • freeimage
    说明：  图形图像出来库文件，挺好用的，直接包含进工程就可以用了 (Graphic images from the library files, good used directly included into the project can be used)
    2009-08-15 20:30:56下载
    积分：1
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    Bayer图像格式转化为标准RGB格式 Bayer图像格式转化为标准RGB格式(Bayer image format into a standard RGB format Bayer image format into a standard RGB format)
    2020-12-12 12:19:16下载
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    MATLAB程序：利用DWT的图像数字水印的嵌入与提取，里面包含水印图像、原图像。(MATLAB programs: the use of DWT image watermarking embedding and extraction, which contains a watermark image, the original image.)
    2021-04-17 16:38:52下载
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  • fenge
    对图像灰度二值化，提取图像中某个色彩的部分并分割(The image is binarized and the part of a color in the image is extracted and segmented)
    2017-04-25 16:34:11下载
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  • 图像水印
    基于DCT,DWT,SVD的图像鲁棒水印算法，并在GUI界面展示(Image watermark algorithm based on DCT, DWT, SVD and displayed on GUI interface.)
    2018-04-19 09:39:43下载
    积分：1
  • LSB替换隐写
    说明：  LSB(英文 least significant bit)即最低有效位。LSB加密是信息隐藏中最基本的方法。由于人们识别声音或图片的能力有限，因此我们稍微改动信息的某一位是不会影响我们识别声音或图片的。(LSB replace steganography)
    2021-04-20 11:48:50下载
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  • ImageProcessing
    说明：  用C语言实现图像的平滑，锐化及双线性内插算法的实现，效果很好(Using C language to achieve image smoothing, sharpening and bilinear interpolation algorithm to achieve good results)
    2008-11-25 19:10:19下载
    积分：1
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