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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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    2005-12-14 13:49:08下载
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  • NSCTPHSI
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    2011-10-24 10:40:46下载
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  • Impulse_Response
    说明：  Impulse response, system response, for signal processing
    2019-03-30 00:04:20下载
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    基于多尺度MRF模型的图像分割算法。使用提升小波对原始图像进行分解，使用ICM算法进行分割处理(Multi-scale MRF model based image segmentation algorithm. The original image using lifting wavelet decomposition, the use of ICM segmentation algorithm)
    2011-06-10 17:36:02下载
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  • 简化数据模型 jianhuachengxu
    简化数据模型、减少数据处理时间、提高成型效率。算法无需建立三角面片之间的拓扑关系，可直接进行切片分层，切平面与网格面片所得的交线段也无需排序，节省了生成轮廓线时对交线段重新排序所需的时间，提高了分层处理的效率。(Simplify the data model, and to reduce the data processing time and improve the molding efficiency. Algorithm without establishing the topological relationships between the triangular dough piece, can be directly slice layered tangential plane with the grid cross-segment of the dough piece obtained without sorting, save when the contour line is generated on the cross segment reordering the time required, improve the efficiency of the hierarchical processing.)
    2020-06-30 03:00:02下载
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    一种利用图像中直线特征的方法来标定摄像机畸变参数的方法。该方法提取图像中多组不同方向的平行直线，并对其利用非线性最小二乘方法进行优化以得到最优的畸变参数，在优化过程中，采用多步渐进的策略。该方法不需要已知三维世界坐标，易于实现。实验表明，该方法有较高的准确率。(A camera lens distortion method is proposed, which uses the straight line features. Many parallel lines of different direction were extracted, and then were used to optimize the distortion parameters by nonlinear least square. The thought of step by step was added when the optimization method working. 3D world coordination is not need to know, and the method is easy to implement. The experiment result shows its high accuracy.)
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  • xbchuzao
    说明：  小波软阈值的去噪处理方法 matlab 源程序代码加实现(Wavelet soft threshold denoising method matlab source code added to achieve)
    2010-04-15 13:19:01下载
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  • tuxing
    对图像进行各种处理，比如形态学方法、图像压缩与编码等等(A variety of image processing, such as morphology, image compression and coding, etc.)
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