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ImageDenoise

于 2020-11-23 发布
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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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  • image_demo
    本工程在C6678上实现了BMP图像的读取，滤波，锐化等操作。可以作为多核DSP图像处理的资料，自己在CCS6平台上测试验证没有问题(This project has realized the reading, filtering and sharpening of the BMP image on C6678. It can be used as a multi-core DSP image processing data, and to test validation on the CCS6 platform)
    2017-12-12 22:39:59下载
    积分：1
  • ssr
    单尺度Retinex算法,ssr算法，matlab程序(Single scale Retinex algorithm, SSR algorithm, matlab program)
    2021-01-26 22:38:41下载
    积分：1
  • 2b509aabc32f4a3be87b452a94226f45
    结合模糊C均值聚类算法与水平集方法的图像分割代码，分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)
    2019-03-11 16:39:09下载
    积分：1
  • EdgeDetecion
    亚像素边缘检测，基于zernike 灰度矩，实现精度可达0.05个pixel(sub-pixel edge detect)
    2021-04-02 14:19:07下载
    积分：1
  • otsu1
    对最大类间方差法进行改良，引入最小类内方差，进一步提高分割效果(For improved Otsu method, introducing the minimum interclass variance, further improve the segmentation effect)
    2014-12-14 13:56:03下载
    积分：1
  • tuxiangzengqiang
    增强图像中的有用信息，它可以是一个失真的过程，其目的是要改善图像的视觉效果，针对给定图像的应用场合(Enhance the useful information in the image, it can be a process of distortion, its purpose is to improve image visual effect, for a given image)
    2013-07-02 17:08:38下载
    积分：1
  • bp_erf_log
    混合像元分解，是定量遥感中非常重要的组成部分之一，在反演地表参数时是必须要考虑的因素之一，文中罗列了分解的一些方法(mixed pixel decomposition, is the quantification of remote sensing very important component of one of the the inversion of surface parameters is to be considered one of the factors, the paper listed some of the decomposition method.)
    2013-06-21 17:09:36下载
    积分：1
  • quanjingtupinheyuchuli
    一种有效的全景图拼合预处理算法.适用于图像的拼接。是论文！(An effective pre-processing algorithm together panorama. Splicing applied to images. Is a thesis!)
    2008-04-15 16:42:03下载
    积分：1
  • fingerprint
    指纹灰度图像的matlab代码，文件附带指纹图像(Gray-scale fingerprint image matlab code, documents attached to the fingerprint image)
    2008-04-21 19:43:46下载
    积分：1
  • kuaipipei
    基于亚像素运动估计算法的块匹配运动，有源码跟参考文献，初学的小伙伴可以看看(Block-matching motion estimation algorithm based sub-pixel motion, there is source code with references, beginner can look at a small partner)
    2020-08-10 15:18:30下载
    积分：1
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