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ImageDenoise

于 2020-11-23 发布
0 103
下载积分: 1 下载次数: 2

代码说明:

说明:  基于MATLAB实现传统图像去噪算法(均值滤波、中值滤波、非局部均值滤波NLM、三维块匹配滤波BM3D)(The traditional image denoising algorithms (mean filter, median filter, NLM, 3D block matching filter BM3D) and dncnn image denoising algorithm based on deep convolution neural network are realized based on MATLAB.)

文件列表:

BM3D, 0 , 2020-11-23
BM3D\BM3D-SAPCA, 0 , 2020-11-23
BM3D\BM3D-SAPCA\BM3DSAPCA2009.p, 9669 , 2020-06-20
BM3D\BM3D-SAPCA\README-BM3D-SAPCA.txt, 1825 , 2020-06-20
BM3D\BM3D-SAPCA\demo_BM3DSAPCA.m, 1592 , 2020-06-20
BM3D\BM3D-SAPCA\function_AnisLPAICI8.p, 1699 , 2020-06-20
BM3D\BM3D-SAPCA\function_CreateLPAKernels.m, 5075 , 2020-06-20
BM3D\BM3D-SAPCA\function_LPAKernelMatrixTheta.m, 6268 , 2020-06-20
BM3D\BM3D-SAPCA\function_WOSFilters.p, 2860 , 2020-06-20
BM3D\BM3D-SAPCA\function_Window2D.m, 2242 , 2020-06-20
BM3D\BM3D.m, 17558 , 2020-06-20
BM3D\BM3DDEB.m, 17170 , 2020-06-20
BM3D\BM3DSHARP.m, 17668 , 2020-06-20
BM3D\BM3D_CFA.m, 17778 , 2020-06-20
BM3D\CBM3D.m, 28530 , 2020-06-20
BM3D\CVBM3D.m, 21770 , 2020-06-20
BM3D\ClipComp16b.p, 3982 , 2020-06-20
BM3D\IDDBM3D, 0 , 2020-11-23
BM3D\IDDBM3D\BM3DDEB_init.m, 17227 , 2020-06-20
BM3D\IDDBM3D\BlockMatch.mexw32, 713216 , 2020-06-20
BM3D\IDDBM3D\BlockMatch.mexw64, 369152 , 2020-06-20
BM3D\IDDBM3D\Demo_IDDBM3D.m, 9075 , 2020-06-20
BM3D\IDDBM3D\GroupProcessor.mexw32, 1165312 , 2020-06-20
BM3D\IDDBM3D\GroupProcessor.mexw64, 1085440 , 2020-06-20
BM3D\IDDBM3D\IDDBM3D.p, 4135 , 2020-06-20
BM3D\LEGAL_NOTICE.txt, 3565 , 2020-06-20
BM3D\README.txt, 9378 , 2020-06-20
BM3D\VBM3D.m, 26708 , 2020-06-20
BM3D\bm3d_CFA_thr.mexa64, 73125 , 2020-06-20
BM3D\bm3d_CFA_thr.mexglx, 48288 , 2020-06-20
BM3D\bm3d_CFA_thr.mexmaci64, 58644 , 2020-06-20
BM3D\bm3d_CFA_thr.mexw32, 73728 , 2020-06-20
BM3D\bm3d_CFA_thr.mexw64, 90624 , 2020-06-20
BM3D\bm3d_CFA_wiener.mexa64, 43392 , 2020-06-20
BM3D\bm3d_CFA_wiener.mexglx, 31763 , 2020-06-20
BM3D\bm3d_CFA_wiener.mexmaci64, 38052 , 2020-06-20
BM3D\bm3d_CFA_wiener.mexw32, 56832 , 2020-06-20
BM3D\bm3d_CFA_wiener.mexw64, 67584 , 2020-06-20
BM3D\bm3d_thr.mexa64, 55065 , 2020-06-20
BM3D\bm3d_thr.mexglx, 41369 , 2020-06-20
BM3D\bm3d_thr.mexmaci, 58764 , 2020-06-20
BM3D\bm3d_thr.mexmaci64, 54552 , 2020-06-20
BM3D\bm3d_thr.mexw32, 72704 , 2020-06-20
BM3D\bm3d_thr.mexw64, 90624 , 2020-06-20
BM3D\bm3d_thr_color.mexa64, 39669 , 2020-06-20
BM3D\bm3d_thr_color.mexglx, 31237 , 2020-06-20
BM3D\bm3d_thr_color.mexmaci, 42368 , 2020-06-20
BM3D\bm3d_thr_color.mexmaci64, 42240 , 2020-06-20
BM3D\bm3d_thr_color.mexw32, 56320 , 2020-06-20
BM3D\bm3d_thr_color.mexw64, 68096 , 2020-06-20
BM3D\bm3d_thr_colored_noise.mexa64, 147948 , 2020-06-20
BM3D\bm3d_thr_colored_noise.mexglx, 120800 , 2020-06-20
BM3D\bm3d_thr_colored_noise.mexmaci, 148920 , 2020-06-20
BM3D\bm3d_thr_colored_noise.mexmaci64, 136600 , 2020-06-20
BM3D\bm3d_thr_colored_noise.mexw32, 217088 , 2020-06-20
BM3D\bm3d_thr_colored_noise.mexw64, 196608 , 2020-06-20
BM3D\bm3d_thr_sharpen_var.mexa64, 135220 , 2020-06-20
BM3D\bm3d_thr_sharpen_var.mexglx, 108574 , 2020-06-20
BM3D\bm3d_thr_sharpen_var.mexmaci, 136524 , 2020-06-20
BM3D\bm3d_thr_sharpen_var.mexmaci64, 124360 , 2020-06-20
BM3D\bm3d_thr_sharpen_var.mexw32, 188416 , 2020-06-20
BM3D\bm3d_thr_sharpen_var.mexw64, 158208 , 2020-06-20
BM3D\bm3d_thr_video.mexa64, 102576 , 2020-06-20
BM3D\bm3d_thr_video.mexglx, 88092 , 2020-06-20
BM3D\bm3d_thr_video.mexmaci, 103788 , 2020-06-20
BM3D\bm3d_thr_video.mexmaci64, 91624 , 2020-06-20
BM3D\bm3d_thr_video.mexw32, 196608 , 2020-06-20
BM3D\bm3d_thr_video.mexw64, 193536 , 2020-06-20
BM3D\bm3d_thr_video_c.mexw32, 208896 , 2020-06-20
BM3D\bm3d_thr_video_c.mexw64, 217088 , 2020-06-20
BM3D\bm3d_wiener.mexa64, 39151 , 2020-06-20
BM3D\bm3d_wiener.mexglx, 28911 , 2020-06-20
BM3D\bm3d_wiener.mexmaci, 42244 , 2020-06-20
BM3D\bm3d_wiener.mexmaci64, 38024 , 2020-06-20
BM3D\bm3d_wiener.mexw32, 57344 , 2020-06-20
BM3D\bm3d_wiener.mexw64, 68096 , 2020-06-20
BM3D\bm3d_wiener_color.mexa64, 41072 , 2020-06-20
BM3D\bm3d_wiener_color.mexglx, 32968 , 2020-06-20
BM3D\bm3d_wiener_color.mexmaci, 46464 , 2020-06-20
BM3D\bm3d_wiener_color.mexmaci64, 38144 , 2020-06-20
BM3D\bm3d_wiener_color.mexw32, 58880 , 2020-06-20
BM3D\bm3d_wiener_color.mexw64, 70144 , 2020-06-20
BM3D\bm3d_wiener_colored_noise.mexa64, 102415 , 2020-06-20
BM3D\bm3d_wiener_colored_noise.mexglx, 83939 , 2020-06-20
BM3D\bm3d_wiener_colored_noise.mexmaci, 99768 , 2020-06-20
BM3D\bm3d_wiener_colored_noise.mexmaci64, 91544 , 2020-06-20
BM3D\bm3d_wiener_colored_noise.mexw32, 155648 , 2020-06-20
BM3D\bm3d_wiener_colored_noise.mexw64, 143360 , 2020-06-20
BM3D\bm3d_wiener_video.mexa64, 111635 , 2020-06-20
BM3D\bm3d_wiener_video.mexglx, 92191 , 2020-06-20
BM3D\bm3d_wiener_video.mexmaci, 111980 , 2020-06-20
BM3D\bm3d_wiener_video.mexmaci64, 95720 , 2020-06-20
BM3D\bm3d_wiener_video.mexw32, 184320 , 2020-06-20
BM3D\bm3d_wiener_video.mexw64, 192000 , 2020-06-20
BM3D\bm3d_wiener_video_c.mexw32, 270336 , 2020-06-20
BM3D\bm3d_wiener_video_c.mexw64, 264704 , 2020-06-20
BM3D\cameraman256.png, 37559 , 2020-06-20
BM3D\image_Lena512rgb.png, 476195 , 2020-06-20
BM3D\main.m, 1028 , 2020-06-20
avefilter, 0 , 2020-11-23

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  • ml1
    使用matlab实现的,基础单变量以及多变量梯度下降算法,和信号分类以及信号归一化部分算法,是机器学习领域最基本的代码,希望大家多多交流(matlab implementation of basic univariate and multivariate gradient descent and signal classification algorithms, machine learning basic code, hope that more exchanges)
    2013-10-29 15:34:24下载
    积分:1
  • yansejiansuo
    基于颜色特征的图像检索系统,,做 了GUI节目,直观(Color-based Image Retrieval System, made a GUI program, intuitive)
    2011-05-21 18:28:10下载
    积分:1
  • segmentation_from_sdf_values_example
    使用CGAL库对人体三维网格分割并且把分割后的网格展开到一个平面上(using cgal to segment a mesh an expend )
    2016-03-31 18:52:44下载
    积分:1
  • 23424646745
    易语言图像混色汇编版源码,易语言写的图形图象编程,很好的参考。(Easy language image color mixing assembly version of source code, easy to graphics programming language to write, a good reference.)
    2013-09-18 19:51:11下载
    积分:1
  • SARSimulation
    合成孔径雷达(SAR)回波模拟半实物仿真平台的构建(Synthetic aperture radar (SAR) analog echo-loop Simulation Platform)
    2009-07-07 22:23:20下载
    积分:1
  • DDE
    本程序的作用,完成了一种图像的DDE算法,数字图像细节增强。(The role of this procedure, the completion of an image of the DDE algorithm, digital image detail enhancement.)
    2021-02-02 22:49:59下载
    积分:1
  • srad
    srad斑点去噪各向异性扩散滤波器,代码很短,本身该方法就含有不少的偏微分方程,看懂需要仔细研究。(srad, speckle denoising anisotropic diffusion filter)
    2014-02-08 18:03:45下载
    积分:1
  • Image-denoising-
    毕业论文参考,内含代码,基于小波变换的图像去噪算法(Image denoising based on wavelet transform, the graduation design code, matlab code)
    2021-03-03 14:59:33下载
    积分:1
  • cuvsor
    snakes are a variational technique to find the best contour,(Snakes are a variational technique to find the best contour,)
    2017-05-03 17:38:54下载
    积分:1
  • Joint entropy
    计算两个离散变量x和y的联合熵z = H(x,y)。 输入:x,y:两个相同长度的整数向量输出:z:联合熵 可以使用,有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)
    2020-06-23 11:20:01下载
    积分:1
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