登录
首页 » WINDOWS » ASR_fusion

ASR_fusion

于 2020-07-13 发布 文件大小:1873KB
0 295
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

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • NPCR_and_UACI.m
    计算图像处理中的评价指标NPCR和UACI(Calculate the evaluation indexes NPCR and UACI)
    2021-01-08 17:28:51下载
    积分:1
  • ggongzhennQo
    gongzhenQ.m:计算双稳态随机共振系统输入输出信信噪比增益,非常明显的随机共振现象。,已通过测试。 (gongzhenQ.m: calculation of the stochastic resonance of bistable stochastic resonance system input output signal SNR gain, it is clear. , Has been tested.)
    2012-06-09 10:49:43下载
    积分:1
  • cviimage
    cvi图像设计替换背景 扣图专用代码 毕业设计可用(cvi replace the background of graphic design graduate design buckle Figure specific code available)
    2020-07-01 15:00:01下载
    积分:1
  • Desktop
    图像的腐蚀函数,非常有用,欢迎大家下载,一块进步(Corrosion function of the image, useful, and welcome to download, a progress)
    2012-09-17 20:02:47下载
    积分:1
  • 小波变换
    说明:  小波变换是图像的多尺度、多分辨率分解,它可以聚焦到图像的任意细节,被称为数学上的显微镜。近年来,随着小波理论及其应用的发展,已将小波多分辨率分解用于像素级图像融合。把两个正交偏振的图片融合(Wavelet transform is the multi-scale and multi-resolution decomposition of an image. It can focus on any detail of the image and is called the mathematical microscope.In recent years, with the development of wavelet theory and its applications, wavelet multi-resolution decomposition has been applied to pixel-level image fusion)
    2020-12-14 10:40:02下载
    积分:1
  • vtk-CT(MC)
    MC算法实现CT医学图像的三维重建,面绘制技术(MC algorithm CT medical image reconstruction, surface rendering technology)
    2014-02-25 10:14:46下载
    积分:1
  • bandlets-denoising-atrou
    bandelet 去噪,包含blsgsm和平移不变去噪,不过对大图像需要的内存比较大(bandelet denoising, including blsgsm and translation invariant denoising, but for large images need more memory)
    2007-08-23 15:43:23下载
    积分:1
  • matlab(deletefog)
    Matlab程序,利用curvelet变换和高斯逆滤波进行图像去雾,含效果图(Matlab program, using curvelet transform and inverse Gaussian image filtering to fog, with the effect of map)
    2008-12-10 20:49:40下载
    积分:1
  • 1
    说明:  基于opencv的图像灰度化,将24位彩色图像重新量化为8位灰度图像(gray image)
    2013-12-12 21:56:49下载
    积分:1
  • Non_Uniform_Pcode
    实现运动模糊图像的非盲卷积 分区域去模糊 有用(Implementation of motion blurred image blind deconvolution is useful to fuzzy areas)
    2020-11-03 10:39:53下载
    积分:1
  • 696516资源总数
  • 106409会员总数
  • 8今日下载