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Release

于 2020-11-08 发布
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下载积分: 1 下载次数: 2
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代码说明：

说明：  图像处理，运动放大，视频代码展示，以及输出结果(steerable pyramid algorithm)

文件列表：

Release, 0 , 2020-09-26
Release\ChangeLog.txt, 229 , 2014-03-21
Release\cspFilterShow.m, 316 , 2017-11-30
Release\csptest.m, 1984 , 2018-09-21
Release\Filters, 0 , 2020-09-26
Release\Filters\AmplitudeWeightedBlur.m, 468 , 2014-03-21
Release\Filters\differenceOfButterworths.m, 627 , 2014-03-21
Release\Filters\differenceOfIIR.m, 380 , 2014-03-21
Release\Filters\FIRWindowBP.m, 681 , 2014-03-21
Release\LICENSE_Linear.pdf, 17296 , 2014-03-21
Release\Linear, 0 , 2020-09-26
Release\Linear\amplify_spatial_Gdown_temporal_ideal.m, 2633 , 2014-03-21
Release\Linear\amplify_spatial_lpyr_temporal_butter.m, 5123 , 2014-03-21
Release\Linear\amplify_spatial_lpyr_temporal_ideal.m, 3808 , 2014-03-21
Release\Linear\amplify_spatial_lpyr_temporal_iir.m, 4918 , 2017-07-21
Release\Linear\blurDnClr.m, 495 , 2014-03-21
Release\Linear\blurUpClr.m, 517 , 2014-03-21
Release\Linear\build_GDown_stack.m, 1705 , 2014-03-21
Release\Linear\build_Lpyr_stack.m, 1804 , 2014-03-21
Release\Linear\ideal_bandpassing.m, 1190 , 2014-03-21
Release\make.m, 132 , 2014-03-21
Release\matlabPyrTools, 0 , 2020-09-26
Release\matlabPyrTools\binomialFilter.m, 309 , 2014-03-21
Release\matlabPyrTools\blur.m, 1731 , 2014-03-21
Release\matlabPyrTools\blurDn.m, 1364 , 2014-03-21
Release\matlabPyrTools\buildGpyr.m, 1931 , 2014-03-21
Release\matlabPyrTools\buildLpyr.m, 2632 , 2014-03-21
Release\matlabPyrTools\buildSCFpyr.m, 2713 , 2014-03-21
Release\matlabPyrTools\buildSCFpyrLevs.m, 2187 , 2014-03-21
Release\matlabPyrTools\buildSFpyr.m, 3256 , 2014-03-21
Release\matlabPyrTools\buildSFpyrLevs.m, 1891 , 2014-03-21
Release\matlabPyrTools\buildSpyr.m, 2064 , 2014-03-21
Release\matlabPyrTools\buildSpyrLevs.m, 861 , 2014-03-21
Release\matlabPyrTools\buildWpyr.m, 2644 , 2014-03-21
Release\matlabPyrTools\cconv2.m, 1325 , 2014-03-21
Release\matlabPyrTools\ChangeLog, 16966 , 2014-03-21
Release\matlabPyrTools\clip.m, 814 , 2014-03-21
Release\matlabPyrTools\Contents.m, 5808 , 2014-03-21
Release\matlabPyrTools\corrDn.m, 2273 , 2014-03-21
Release\matlabPyrTools\einstein.pgm, 65596 , 2014-03-21
Release\matlabPyrTools\entropy2.m, 693 , 2014-03-21
Release\matlabPyrTools\factorial.m, 273 , 2014-03-21
Release\matlabPyrTools\feynman.pgm, 65593 , 2014-03-21
Release\matlabPyrTools\histo.m, 1835 , 2014-03-21
Release\matlabPyrTools\histoMatch.m, 858 , 2014-03-21
Release\matlabPyrTools\imGradient.m, 1547 , 2014-03-21
Release\matlabPyrTools\imStats.m, 1217 , 2014-03-21
Release\matlabPyrTools\innerProd.m, 314 , 2014-03-21
Release\matlabPyrTools\kurt2.m, 551 , 2014-03-21
Release\matlabPyrTools\lplot.m, 1009 , 2014-03-21
Release\matlabPyrTools\lpyrHt.m, 233 , 2014-03-21
Release\matlabPyrTools\make-tar-file, 1704 , 2014-03-21
Release\matlabPyrTools\maxPyrHt.m, 603 , 2014-03-21
Release\matlabPyrTools\mean2.m, 97 , 2014-03-21
Release\matlabPyrTools\MEX, 0 , 2020-09-26
Release\matlabPyrTools\MEX\compilePyrTools.m, 302 , 2014-03-21
Release\matlabPyrTools\MEX\convolve.c, 10523 , 2014-03-21
Release\matlabPyrTools\MEX\convolve.h, 1863 , 2014-03-21
Release\matlabPyrTools\MEX\corrDn.c, 4454 , 2014-03-21
Release\matlabPyrTools\MEX\corrDn.mexa64, 33734 , 2014-03-21
Release\matlabPyrTools\MEX\corrDn.mexglx, 27007 , 2014-03-21
Release\matlabPyrTools\MEX\corrDn.mexmac, 30168 , 2014-03-21
Release\matlabPyrTools\MEX\corrDn.mexmaci, 38096 , 2014-03-21
Release\matlabPyrTools\MEX\corrDn.mexmaci64, 30192 , 2014-03-21
Release\matlabPyrTools\MEX\corrDn.mexw32, 25088 , 2014-03-21
Release\matlabPyrTools\MEX\corrDn.mexw64, 39424 , 2018-05-20
Release\matlabPyrTools\MEX\edges.c, 22123 , 2014-03-21
Release\matlabPyrTools\MEX\edges-orig.c, 16380 , 2014-03-21
Release\matlabPyrTools\MEX\histo.c, 4147 , 2014-03-21
Release\matlabPyrTools\MEX\histo.mexa64, 9211 , 2014-03-21
Release\matlabPyrTools\MEX\histo.mexglx, 10228 , 2014-03-21
Release\matlabPyrTools\MEX\histo.mexmac, 8852 , 2014-03-21
Release\matlabPyrTools\MEX\histo.mexmaci, 12816 , 2014-03-21
Release\matlabPyrTools\MEX\histo.mexmaci64, 8824 , 2014-03-21
Release\matlabPyrTools\MEX\histo.mexw32, 8192 , 2014-03-21
Release\matlabPyrTools\MEX\histo.mexw64, 12800 , 2018-05-20
Release\matlabPyrTools\MEX\innerProd.c, 1436 , 2014-03-21
Release\matlabPyrTools\MEX\pointOp.c, 3564 , 2014-03-21
Release\matlabPyrTools\MEX\pointOp.mexa64, 9124 , 2014-03-21
Release\matlabPyrTools\MEX\pointOp.mexglx, 10039 , 2014-03-21
Release\matlabPyrTools\MEX\pointOp.mexmac, 12944 , 2014-03-21
Release\matlabPyrTools\MEX\pointOp.mexmaci, 12824 , 2014-03-21
Release\matlabPyrTools\MEX\pointOp.mexmaci64, 8816 , 2014-03-21
Release\matlabPyrTools\MEX\pointOp.mexw32, 7168 , 2014-03-21
Release\matlabPyrTools\MEX\pointOp.mexw64, 12288 , 2018-05-20
Release\matlabPyrTools\MEX\range2.c, 1414 , 2014-03-21
Release\matlabPyrTools\MEX\range2.mexa64, 7504 , 2014-03-21
Release\matlabPyrTools\MEX\range2.mexglx, 8226 , 2014-03-21
Release\matlabPyrTools\MEX\range2.mexmac, 8776 , 2014-03-21
Release\matlabPyrTools\MEX\range2.mexmaci, 12764 , 2014-03-21
Release\matlabPyrTools\MEX\range2.mexmaci64, 8744 , 2014-03-21
Release\matlabPyrTools\MEX\range2.mexw32, 6656 , 2014-03-21
Release\matlabPyrTools\MEX\range2.mexw64, 10752 , 2018-05-20
Release\matlabPyrTools\MEX\upConv.c, 6280 , 2014-03-21
Release\matlabPyrTools\MEX\upConv.mexa64, 35078 , 2014-03-21
Release\matlabPyrTools\MEX\upConv.mexglx, 28633 , 2014-03-21
Release\matlabPyrTools\MEX\upConv.mexmac, 34264 , 2014-03-21
Release\matlabPyrTools\MEX\upConv.mexmaci, 38096 , 2014-03-21
Release\matlabPyrTools\MEX\upConv.mexmaci64, 30192 , 2014-03-21
Release\matlabPyrTools\MEX\upConv.mexw32, 26112 , 2014-03-21

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发表评论

0 个回复

  • BID_QM_demo
    对模糊图像进行复原（代码中样例）后，进行ISNR值的计算。由于复原后图像和原图像可能存在对齐问题，而该对齐问题不影响复原结果的主观效果，因此该代码首次考虑这一问题并给出相应的图像对齐及ISNR计算方法。(Restoration of blurred images (sample code), the calculation ISNR values. Due to possible alignment problems and the restored image after the original image, and the alignment problem does not affect the results of the subjective effects of recovery, so the code for the first time to consider this issue and the corresponding image alignment and ISNR calculation.)
    2014-12-08 15:20:02下载
    积分：1
  • GLDM
    基于灰度共生矩阵的纹理特征提取。特征参数为：熵，能量，(GLCM-based texture feature extraction. The characteristic parameters: entropy, energy,)
    2012-05-31 12:06:10下载
    积分：1
  • POCS
    超分辨率POCS（投影到凸集集合理论复原方法）算法代码(The POCS super-resolution algorithm code)
    2012-07-06 17:00:35下载
    积分：1
  • Visual.Assist.X.v10.5.1715.0
    本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的多光谱图像配准算法。(In this paper, multi-spectral image registration between different spectral image there is a big difference in gray scale, the same scene in different bands performance characteristics are different questions, we present a similarity measure based on mutual information of multi-spectral image registration algorithm .)
    2010-09-07 11:54:35下载
    积分：1
  • xiaobobaohuanhualvboquzao
    小波包变换去噪和滤波去噪的word，可以直接剪切到MATLAB。有分析(Wavelet Packet Denoising and filtering denoising word, you can cut directly to MATLAB. Some analysts)
    2015-09-07 12:05:18下载
    积分：1
  • CODE
    说明：  数字图像处理的常用算法总结，比如，直方图，直方图均衡化，均值滤波，中值滤波，平滑滤波等。(Commonly used digital image processing algorithms summarized, for example, histogram, histogram equalization, mean filtering, median filtering, filtering and so on.)
    2011-04-14 21:53:09下载
    积分：1
  • 梯度金字塔
    实现三层图像金字塔构建和两幅图像融合，代码完整(Three layers of image Pyramid construction and two image fusion, complete code)
    2020-12-22 10:09:07下载
    积分：1
  • SIFT
    SIFT匹配算法，能够提取出具有尺度不变性的特征点，且能够对两幅图像进行鲁棒的匹配。(SIFT matching algorithm, able to extract with the scale invariance of the feature points, and the two images to be able to match robust.)
    2009-03-31 11:53:30下载
    积分：1
  • demo
    源码包括了常用的图像处理方法，代码详细，适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)
    2013-07-12 21:31:55下载
    积分：1
  • GPM-
    一种新颖的退化图像复原算法。结合最大差值先验假设和最大局部对比度先验假设，快速有效的得到退化图像的深度转换估计图。结合软抠图法和shades of the gray算法实现图像去雾和水下图像处理。(A novel degraded image restoration algorithm. Combined with maximum difference between a priori assumptions and maximum local contrast priori hypotheses, quickly and efficiently get degraded image depth conversion estimates Chart. Combined with soft matting law and shades of the gray image algorithm to image processing and underwater fog)
    2020-12-03 00:09:25下载
    积分：1
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