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ASR_fusion

于 2020-07-13 发布 文件大小:1873KB
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下载积分: 1 下载次数: 23

代码说明:

  该文件包含与以下文件相关的代码: Y.Liu和Z.Wang具有自适应稀疏表示的同时图像融合和去噪(This package contains the code which is associated with the following paper: Y. Liu and Z. Wang Simultaneous image fusion and denoising with adaptive sparse representatio)

文件列表:

ASR_fusion\asr_fuse.m, 3879 , 2017-11-21
ASR_fusion\Data\a01_1.tif, 59800 , 2014-09-01
ASR_fusion\Data\a01_2.tif, 60544 , 2014-09-01
ASR_fusion\Data\b01_1.tif, 66346 , 2014-09-01
ASR_fusion\Data\b01_2.tif, 66328 , 2014-09-01
ASR_fusion\Dictionary\D_100000_128_8_0.bmp, 10878 , 2014-03-02
ASR_fusion\Dictionary\D_100000_128_8_0.mat, 63065 , 2014-03-02
ASR_fusion\Dictionary\D_100000_128_8_1.bmp, 10878 , 2014-03-02
ASR_fusion\Dictionary\D_100000_128_8_2.bmp, 10878 , 2014-03-02
ASR_fusion\Dictionary\D_100000_128_8_3.bmp, 10878 , 2014-03-02
ASR_fusion\Dictionary\D_100000_128_8_4.bmp, 10878 , 2014-03-02
ASR_fusion\Dictionary\D_100000_128_8_5.bmp, 10878 , 2014-03-02
ASR_fusion\Dictionary\D_100000_128_8_6.bmp, 10878 , 2014-03-02
ASR_fusion\Dictionary\D_100000_128_8_6.mat, 377390 , 2014-03-02
ASR_fusion\Dictionary\D_100000_256_8_0.bmp, 21670 , 2014-03-17
ASR_fusion\Dictionary\D_100000_256_8_0.mat, 125987 , 2014-03-17
ASR_fusion\Dictionary\D_100000_256_8_1.bmp, 21670 , 2014-03-17
ASR_fusion\Dictionary\D_100000_256_8_2.bmp, 21670 , 2014-03-17
ASR_fusion\Dictionary\D_100000_256_8_3.bmp, 21670 , 2014-03-17
ASR_fusion\Dictionary\D_100000_256_8_4.bmp, 21670 , 2014-03-17
ASR_fusion\Dictionary\D_100000_256_8_5.bmp, 21670 , 2014-03-17
ASR_fusion\Dictionary\D_100000_256_8_6.bmp, 21670 , 2014-03-17
ASR_fusion\Dictionary\D_100000_256_8_6.mat, 754680 , 2014-03-17
ASR_fusion\ksvdbox\Contents.m, 1068 , 2014-09-01
ASR_fusion\ksvdbox\faq.txt, 2725 , 2014-09-01
ASR_fusion\ksvdbox\ksvd.asv, 19553 , 2014-09-01
ASR_fusion\ksvdbox\ksvd.m, 19574 , 2014-09-01
ASR_fusion\ksvdbox\ksvddemo.m, 1757 , 2014-09-01
ASR_fusion\ksvdbox\ksvddenoise.m, 10844 , 2014-09-01
ASR_fusion\ksvdbox\ksvddenoisedemo.m, 2515 , 2014-09-01
ASR_fusion\ksvdbox\ksvdver.m, 12581 , 2014-09-01
ASR_fusion\ksvdbox\odct2dict.m, 1084 , 2014-09-01
ASR_fusion\ksvdbox\odct3dict.m, 1178 , 2014-09-01
ASR_fusion\ksvdbox\odctdict.m, 474 , 2014-09-01
ASR_fusion\ksvdbox\odctndict.m, 1504 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\Contents.m, 559 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\faq.txt, 1870 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\omp.m, 4601 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\omp2.m, 5519 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\ompdemo.m, 2386 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\ompspeedtest.m, 1633 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\ompver.m, 7654 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\.gitignore, 8 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\make.m, 838 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\myblas.c, 5353 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\myblas.h, 6831 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\omp2mex.c, 3540 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\omp2mex.m, 919 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\omp2mex.mexa64, 26906 , 2015-11-07
ASR_fusion\ksvdbox\ompbox\private\omp2mex.mexw32, 16896 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\omp2mex.mexw64, 22528 , 2015-01-31
ASR_fusion\ksvdbox\ompbox\private\ompcore.c, 14351 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\ompcore.h, 3122 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\ompmex.c, 2874 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\ompmex.m, 814 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\ompmex.mexa64, 26905 , 2015-11-07
ASR_fusion\ksvdbox\ompbox\private\ompmex.mexw32, 16384 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\ompmex.mexw64, 22528 , 2015-01-31
ASR_fusion\ksvdbox\ompbox\private\ompprof.c, 4523 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\ompprof.h, 3086 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\omputils.c, 1453 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\omputils.h, 2238 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\private\printf.m, 693 , 2014-09-01
ASR_fusion\ksvdbox\ompbox\readme.txt, 1302 , 2014-09-01
ASR_fusion\ksvdbox\ompdenoise.m, 10481 , 2014-09-01
ASR_fusion\ksvdbox\ompdenoise1.m, 3708 , 2014-09-01
ASR_fusion\ksvdbox\ompdenoise2.m, 5203 , 2014-09-01
ASR_fusion\ksvdbox\ompdenoise3.m, 5700 , 2014-09-01
ASR_fusion\ksvdbox\private\.gitignore, 8 , 2014-09-01
ASR_fusion\ksvdbox\private\addtocols.c, 2000 , 2014-09-01
ASR_fusion\ksvdbox\private\addtocols.m, 316 , 2014-09-01
ASR_fusion\ksvdbox\private\addtocols.mexa64, 8466 , 2015-11-07
ASR_fusion\ksvdbox\private\addtocols.mexw32, 6656 , 2014-09-01
ASR_fusion\ksvdbox\private\addtocols.mexw64, 7680 , 2015-01-31
ASR_fusion\ksvdbox\private\add_dc.m, 830 , 2014-09-01
ASR_fusion\ksvdbox\private\col2imsum.m, 1084 , 2014-09-01
ASR_fusion\ksvdbox\private\collincomb.c, 4420 , 2014-09-01
ASR_fusion\ksvdbox\private\collincomb.m, 859 , 2014-09-01
ASR_fusion\ksvdbox\private\collincomb.mexa64, 12643 , 2015-11-07
ASR_fusion\ksvdbox\private\collincomb.mexw32, 7680 , 2014-09-01
ASR_fusion\ksvdbox\private\collincomb.mexw64, 9728 , 2015-01-31
ASR_fusion\ksvdbox\private\countcover.m, 1163 , 2014-09-01
ASR_fusion\ksvdbox\private\dictdist.m, 1839 , 2014-09-01
ASR_fusion\ksvdbox\private\imnormalize.m, 496 , 2014-09-01
ASR_fusion\ksvdbox\private\iswhole.m, 487 , 2014-09-01
ASR_fusion\ksvdbox\private\make.m, 861 , 2014-09-01
ASR_fusion\ksvdbox\private\mexutils.c, 2219 , 2014-09-01
ASR_fusion\ksvdbox\private\mexutils.h, 3655 , 2014-09-01
ASR_fusion\ksvdbox\private\normcols.m, 346 , 2014-09-01
ASR_fusion\ksvdbox\private\printf.m, 693 , 2014-09-01
ASR_fusion\ksvdbox\private\reggrid.m, 4708 , 2014-09-01
ASR_fusion\ksvdbox\private\remove_dc.m, 1019 , 2014-09-01
ASR_fusion\ksvdbox\private\rowlincomb.c, 3590 , 2014-09-01
ASR_fusion\ksvdbox\private\rowlincomb.m, 861 , 2014-09-01
ASR_fusion\ksvdbox\private\rowlincomb.mexa64, 12643 , 2015-11-07
ASR_fusion\ksvdbox\private\rowlincomb.mexw32, 7168 , 2014-09-01
ASR_fusion\ksvdbox\private\rowlincomb.mexw64, 9728 , 2015-01-31
ASR_fusion\ksvdbox\private\sampgrid.m, 2003 , 2014-09-01
ASR_fusion\ksvdbox\private\secs2hms.m, 671 , 2014-09-01
ASR_fusion\ksvdbox\private\spdiag.m, 769 , 2014-09-01

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发表评论

0 个回复

  • shuzituxiang
    二维图像的处理,包括加入高斯噪声,椒盐噪声,滤波处理。(Two-dimensional image processing, including Gaussian noise, impulse noise, filtering.)
    2014-10-10 10:34:35下载
    积分:1
  • work
    用自适应阈值法二值化图像,首先将图像分为几个子图像,在每个子图像中求得均值,用此均值二值化本子图(err)
    2007-12-04 16:04:58下载
    积分:1
  • cvpr09-(matlab)
    何凯明的基于暗原色先验的去雾代码,去雾效果很好(Kaiming dark colors based on a priori defogging code defogging good effect)
    2016-02-13 15:14:54下载
    积分:1
  • yasuoshuiyin
    说明:  将基于小波变换的嵌入水印后的宿主图像进行压缩处理再提取灰度水印。(will be based on the wavelet transform the embedded watermark image of the host compressed again from Gray watermark.)
    2006-04-27 09:09:14下载
    积分:1
  • close all
    说明:  小波变化是对傅里叶变换和短时傅里叶变换的一个突破,其改变就在于,将无限长的三角函数基换成了有限长的会衰减的小波。(Wavelet transform is a breakthrough of Fourier transform and short-time Fourier transform. Its change lies in that the infinite trigonometric function base is replaced by the finite attenuation wavelet.)
    2020-06-26 16:29:04下载
    积分:1
  • HW3
    熟悉图像的频域滤波算法、灰度图经FFT 后变到频域、噪声及移除(Familiar image of the frequency domain filtering algorithm, after the change to grayscale by the FFT frequency domain, noise and removed)
    2020-12-20 10:09:09下载
    积分:1
  • dingbiao
    摄像机定标。用matlab程序编写的将世界坐标系下的坐标转到图像坐标系的m文件(Camera calibration. M file matlab program the coordinates in the world coordinate system to image coordinate system)
    2012-11-27 10:17:31下载
    积分:1
  • matlab_finger
    一个作业,用matlab实现指纹识别,做得不好,惭愧(an operation using Matlab achieve fingerprint identification, is not done properly ashamed)
    2006-09-07 18:41:21下载
    积分:1
  • GVF
    使用snake算法寻找图形的轮廓,GVF梯度代替传统方法取得了很好的效果。(Snake algorithm to find the outline of the graphics, GVF gradient instead of the traditional methods achieved good results.)
    2012-08-19 09:57:05下载
    积分:1
  • digital-image-processing-gonzalez---solution-manu
    Solutions for Digital Image processing Gonzalez - Solution Manual (3rd edition)
    2012-06-01 08:34:40下载
    积分:1
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