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BM3D

于 2020-12-17 发布
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代码说明：

说明：  BMD完整代码，包括灰度图片和彩色图片的去噪、去模糊等功能，去噪效果尤为突出。(Complete code of BMD, including de-noising and de-blurring functions of gray image and color image, especially outstanding de-noising effect.)

文件列表：

BM3D\BM3D-SAPCA\BM3DSAPCA2009.p, 9669 , 2011-08-26
BM3D\BM3D-SAPCA\demo_BM3DSAPCA.m, 1592 , 2011-08-26
BM3D\BM3D-SAPCA\function_AnisLPAICI8.p, 1699 , 2008-03-25
BM3D\BM3D-SAPCA\function_CreateLPAKernels.m, 5192 , 2008-03-25
BM3D\BM3D-SAPCA\function_LPAKernelMatrixTheta.m, 6420 , 2008-03-25
BM3D\BM3D-SAPCA\function_Window2D.m, 2356 , 2008-03-25
BM3D\BM3D-SAPCA\function_WOSFilters.p, 2860 , 2008-03-25
BM3D\BM3D-SAPCA\README-BM3D-SAPCA.txt, 1825 , 2011-08-26
BM3D\BM3D.m, 22806 , 2019-10-20
BM3D\BM3DDEB.m, 17207 , 2019-10-10
BM3D\BM3DSHARP.m, 17692 , 2019-10-10
BM3D\BM3D_CFA.m, 17778 , 2014-01-31
BM3D\bm3d_CFA_thr.mexa64, 73125 , 2014-01-30
BM3D\bm3d_CFA_thr.mexglx, 48288 , 2014-01-31
BM3D\bm3d_CFA_thr.mexmaci64, 58644 , 2013-12-02
BM3D\bm3d_CFA_thr.mexw32, 73728 , 2013-11-28
BM3D\bm3d_CFA_thr.mexw64, 90624 , 2013-11-27
BM3D\bm3d_CFA_wiener.mexa64, 43392 , 2014-01-30
BM3D\bm3d_CFA_wiener.mexglx, 31763 , 2014-01-31
BM3D\bm3d_CFA_wiener.mexmaci64, 38052 , 2013-12-02
BM3D\bm3d_CFA_wiener.mexw32, 56832 , 2013-11-28
BM3D\bm3d_CFA_wiener.mexw64, 67584 , 2013-11-27
BM3D\bm3d_thr.mexa64, 55065 , 2011-06-01
BM3D\bm3d_thr.mexglx, 41369 , 2011-06-01
BM3D\bm3d_thr.mexmaci, 58764 , 2011-06-03
BM3D\bm3d_thr.mexmaci64, 54552 , 2011-06-03
BM3D\bm3d_thr.mexw32, 72704 , 2011-06-01
BM3D\bm3d_thr.mexw64, 90624 , 2011-06-01
BM3D\bm3d_thr_color.mexa64, 39669 , 2011-06-01
BM3D\bm3d_thr_color.mexglx, 31237 , 2011-06-01
BM3D\bm3d_thr_color.mexmaci, 42368 , 2011-06-03
BM3D\bm3d_thr_color.mexmaci64, 42240 , 2011-06-03
BM3D\bm3d_thr_color.mexw32, 56320 , 2011-06-01
BM3D\bm3d_thr_color.mexw64, 68096 , 2011-06-01
BM3D\bm3d_thr_colored_noise.mexa64, 147948 , 2011-06-01
BM3D\bm3d_thr_colored_noise.mexglx, 120800 , 2011-06-01
BM3D\bm3d_thr_colored_noise.mexmaci, 148920 , 2011-06-03
BM3D\bm3d_thr_colored_noise.mexmaci64, 136600 , 2011-06-03
BM3D\bm3d_thr_colored_noise.mexw32, 217088 , 2008-11-18
BM3D\bm3d_thr_colored_noise.mexw64, 196608 , 2008-10-16
BM3D\bm3d_thr_sharpen_var.mexa64, 135220 , 2011-06-01
BM3D\bm3d_thr_sharpen_var.mexglx, 108574 , 2011-06-01
BM3D\bm3d_thr_sharpen_var.mexmaci, 136524 , 2010-04-29
BM3D\bm3d_thr_sharpen_var.mexmaci64, 124360 , 2010-10-22
BM3D\bm3d_thr_sharpen_var.mexw32, 188416 , 2008-11-18
BM3D\bm3d_thr_sharpen_var.mexw64, 158208 , 2008-10-17
BM3D\bm3d_thr_video.mexa64, 102576 , 2011-06-01
BM3D\bm3d_thr_video.mexglx, 88092 , 2011-06-01
BM3D\bm3d_thr_video.mexmaci, 103788 , 2010-04-29
BM3D\bm3d_thr_video.mexmaci64, 91624 , 2010-10-22
BM3D\bm3d_thr_video.mexw32, 196608 , 2007-03-12
BM3D\bm3d_thr_video.mexw64, 193536 , 2008-11-19
BM3D\bm3d_thr_video_c.mexw32, 208896 , 2010-03-15
BM3D\bm3d_thr_video_c.mexw64, 217088 , 2010-03-14
BM3D\bm3d_wiener.mexa64, 39151 , 2011-06-01
BM3D\bm3d_wiener.mexglx, 28911 , 2011-06-01
BM3D\bm3d_wiener.mexmaci, 42244 , 2011-06-03
BM3D\bm3d_wiener.mexmaci64, 38024 , 2011-06-03
BM3D\bm3d_wiener.mexw32, 57344 , 2011-06-01
BM3D\bm3d_wiener.mexw64, 68096 , 2011-06-01
BM3D\bm3d_wiener_color.mexa64, 41072 , 2011-06-01
BM3D\bm3d_wiener_color.mexglx, 32968 , 2011-06-01
BM3D\bm3d_wiener_color.mexmaci, 46464 , 2011-06-03
BM3D\bm3d_wiener_color.mexmaci64, 38144 , 2011-06-03
BM3D\bm3d_wiener_color.mexw32, 58880 , 2011-06-01
BM3D\bm3d_wiener_color.mexw64, 70144 , 2011-06-01
BM3D\bm3d_wiener_colored_noise.mexa64, 102415 , 2011-06-01
BM3D\bm3d_wiener_colored_noise.mexglx, 83939 , 2011-06-01
BM3D\bm3d_wiener_colored_noise.mexmaci, 99768 , 2011-06-03
BM3D\bm3d_wiener_colored_noise.mexmaci64, 91544 , 2011-06-03
BM3D\bm3d_wiener_colored_noise.mexw32, 155648 , 2008-11-18
BM3D\bm3d_wiener_colored_noise.mexw64, 143360 , 2008-10-16
BM3D\bm3d_wiener_video.mexa64, 111635 , 2011-06-01
BM3D\bm3d_wiener_video.mexglx, 92191 , 2011-06-01
BM3D\bm3d_wiener_video.mexmaci, 111980 , 2010-04-29
BM3D\bm3d_wiener_video.mexmaci64, 95720 , 2010-10-22
BM3D\bm3d_wiener_video.mexw32, 184320 , 2007-03-12
BM3D\bm3d_wiener_video.mexw64, 192000 , 2008-11-19
BM3D\bm3d_wiener_video_c.mexw32, 270336 , 2010-03-15
BM3D\bm3d_wiener_video_c.mexw64, 264704 , 2010-03-15
BM3D\CBM3D.m, 28530 , 2011-02-04
BM3D\chuangray.jpg, 50871 , 2019-10-20
BM3D\ClipComp16b.p, 3982 , 2009-11-18
BM3D\CVBM3D.m, 21770 , 2010-03-15
BM3D\feijigray.jpg, 38102 , 2019-10-20
BM3D\IDDBM3D\BlockMatch.mexw32, 713216 , 2011-06-03
BM3D\IDDBM3D\BlockMatch.mexw64, 369152 , 2011-06-03
BM3D\IDDBM3D\BM3DDEB_init.m, 17227 , 2010-04-05
BM3D\IDDBM3D\Demo_IDDBM3D.m, 9349 , 2011-06-04
BM3D\IDDBM3D\GroupProcessor.mexw32, 1165312 , 2011-06-03
BM3D\IDDBM3D\GroupProcessor.mexw64, 1085440 , 2011-06-03
BM3D\IDDBM3D\IDDBM3D.p, 4135 , 2011-06-03
BM3D\LEGAL_NOTICE.txt, 3600 , 2008-10-17
BM3D\lena.png, 32087 , 2012-03-13
BM3D\NSCTlena.png, 84517 , 2019-10-10
BM3D\README.txt, 9629 , 2014-01-31
BM3D\VBM3D.m, 26708 , 2010-03-15
BM3D\wenligray.jpg, 91355 , 2019-10-20
BM3D\BM3D-SAPCA, 0 , 2019-10-18
BM3D\IDDBM3D, 0 , 2019-10-18

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    2020-10-21 14:04:25下载
    积分：1
  • FaceNormalization
    这是一种很强的人脸检测程序，你可以试试，但我也不知是用什么方法。(This is a very strong face detection process, you can try, but I do not know in what ways.)
    2007-12-06 09:17:17下载
    积分：1
  • LPQ_TOP
    LPQ——TOP特征提取源码及其应用，能够很好提取动态的表情特征，可以用在表情识别以及姿态检测上。(LPQ- TOP feature extraction and its application source code, can be a good dynamic expression feature extraction, can be used on face recognition and gesture detection.)
    2020-09-21 14:27:51下载
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  • Gradient-vector-diffusion-denoising
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    积分：1
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    2019-06-06 09:40:59下载
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  • The-Curvelet-Transform-
    这里包含了曲线波变换用于图像去噪的一片论文以及翻译，这是本人亲自翻译排版的，希望对大家有用(This includes the curvelet transform for image denoising is a piece of paper and translation, this is a personally Translation Publishing, I hope useful for everyone)
    2014-06-15 10:45:45下载
    积分：1
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    说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )
    2011-02-23 10:20:27下载
    积分：1
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    此程序为用于jpeg2000中的小波零树压缩编码，它采用了小波零树编码原理，利用了小波系数之间的关系(this procedure for the jpeg2000 EZW coding, It uses wavelet zerotree coding theory, the use of wavelet coefficients of the relationship between)
    2006-12-11 10:02:03下载
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    A Low Complexity Motion Compensated Frame Interpolation Method
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    对图像采用DCT变换后，进行图像去噪的算法(Image denoise by DCT)
    2020-06-29 20:40:02下载
    积分：1
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