登录
首页 » matlab » ScSR

ScSR

于 2020-11-24 发布 文件大小:26991KB
0 214
下载积分: 1 下载次数: 457

代码说明:

  Jianchao Yang 的基于稀疏表示的单幅图像重建的原始代码,先将高低训练图像分块,再将块训练成高低字典,将测试图像映射到低字典上,得到系数,再乘以高子典就得到最后的图像。对学习超分辨率同学的参考作用很大。(This is the original matlab code for super resolution by Jianchao Yang 。The method is sparse represent based on the overcomplete dictionary。)

文件列表:

ScSR
....\backprojection.m,460,2011-01-28
....\compute_rmse.m,293,2011-01-12
....\Data
....\....\Testing



....\....\Training





....\....\........\t16.bmp,83894,2007-10-14
....\....\........\t17.bmp,69786,2007-10-14
....\....\........\t18.bmp,55782,2007-10-14
....\....\........\t19.bmp,96174,2007-10-14
....\....\........\t2.bmp,92418,2007-10-14
....\....\........\t20.bmp,18462,2007-10-14
....\....\........\t21.bmp,41346,2007-10-14
....\....\........\t22.bmp,59718,2007-10-14
....\....\........\t23.bmp,46902,2007-10-14
....\....\........\t24.bmp,37290,2007-10-14
....\....\........\t25.bmp,125190,2007-10-14
....\....\........\t26.bmp,58742,2007-10-14
....\....\........\t27.bmp,126030,2007-10-14
....\....\........\t28.bmp,92550,2007-10-14
....\....\........\t3.bmp,89334,2007-10-14
....\....\........\t30.bmp,61662,2007-10-14
....\....\........\t31.bmp,101670,2007-11-09
....\....\........\t32.bmp,86646,2007-11-09
....\....\........\t34.bmp,66362,2007-11-09
....\....\........\t35.bmp,125306,2007-11-09
....\....\........\t36.bmp,114102,2007-11-23
....\....\........\t37.bmp,312390,2007-11-22
....\....\........\t38.bmp,200054,2007-11-22
....\....\........\t39.bmp,197350,2007-11-22
....\....\........\t4.bmp,128646,2007-10-14
....\....\........\t40.bmp,200082,2007-11-22
....\....\........\t42.bmp,202814,2007-11-23
....\....\........\t43.bmp,157134,2007-11-23
....\....\........\t44.bmp,115722,2007-11-23
....\....\........\t46.bmp,355146,2007-11-22
....\....\........\t47.bmp,143574,2007-11-22
....\....\........\t48.bmp,135462,2007-11-22
....\....\........\t49.bmp,243022,2007-11-22
....\....\........\t5.bmp,70734,2007-10-14
....\....\........\t50.bmp,259958,2007-11-22
....\....\........\t51.bmp,251910,2007-11-22
....\....\........\t52.bmp,207090,2007-11-22
....\....\........\t59.bmp,214134,2007-11-23
....\....\........\t6.bmp,90102,2007-10-14
....\....\........\t60.bmp,141394,2007-11-23
....\....\........\t61.bmp,111254,2007-11-23
....\....\........\t62.bmp,118194,2007-11-23
....\....\........\t63.bmp,148726,2007-11-23
....\....\........\t66.bmp,234090,2007-11-22
....\....\........\t7.bmp,83898,2007-10-14
....\....\........\tt1.bmp,407454,2009-05-21
....\....\........\tt12.bmp,343350,2009-05-21
....\....\........\tt14.bmp,153462,2009-05-21
....\....\........\tt15.bmp,216534,2009-05-21
....\....\........\tt17.bmp,238878,2009-05-21
....\....\........\tt18.bmp,95898,2009-05-21
....\....\........\tt19.bmp,190454,2009-05-21
....\....\........\tt2.bmp,459162,2009-05-21
....\....\........\tt20.bmp,266442,2009-05-21
....\....\........\tt21.bmp,383214,2009-05-21
....\....\........\tt24.bmp,339414,2009-05-21
....\....\........\tt25.bmp,414774,2009-05-21
....\....\........\tt26.bmp,358494,2009-05-21
....\....\........\tt27.bmp,283722,2009-05-21
....\....\........\tt3.bmp,455238,2009-05-21
....\....\........\tt4.bmp,427302,2009-05-21
....\....\........\tt5.bmp,406314,2009-05-21
....\....\........\tt7.bmp,142922,2009-05-21
....\....\........\tt9.bmp,436926,2009-05-21
....\Demo_Dictionary_Training.m,1437,2011-03-07
....\Demo_SR.m,2399,2011-03-07
....\Dictionary
....\..........\D_1024_0.15_5.mat,983828,2011-01-04
....\..........\D_512_0.15_5.mat,492077,2011-01-04
....\extr_lIm_fea.m,433,2011-01-28
....\L1QP_FeatureSign_yang.m,1608,2009-09-30
....\lin_scale.m,128,2011-03-04
....\patch_pruning.m,144,2011-03-07
....\Previous
....\........\ScSR.rar,12388885,2009-05-31
....\........\SR-Results.rar,3172715,2009-04-08
....\README.dat,1483,2011-10-30
....\RegularizedSC
....\.............\construct_reg_mat.m,394,2009-09-25
....\.............\display_network_nonsquare2.m,965,2009-03-05
....\.............\getObjective_RegSc.m,306,2009-09-24
....\.............\L1QP_FeatureSign_Set.m,331,2010-01-30
....\.............\L1QP_FeatureSign_yang.m,1608,2009-09-30
....\.............\l2ls_learn_basis_dual.m,2371,2009-03-05
....\.............\regsc.m,362,2009-09-25
....\.............\reg_sparse_coding.m,3307,2010-12-24

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

  • gongji
    对嵌入水印的图象进行不同的攻击 添加噪音,滤波,剪切,压缩,旋转45度(Watermark on the images embedded in a different attack to add noise, filter, shear, compression, rotating 45 degrees)
    2009-05-12 22:31:37下载
    积分:1
  • texture-classification-with-lbp
    多分辨率灰度和旋转不变纹理分类与定位二进制模式(multiresolution gray scale and rotation invariant texture classification with location binary patterns )
    2014-02-25 16:45:10下载
    积分:1
  • Color-transfer-between-images
    非常经典的彩色转移算法的原文及源代码,是学习彩色转移必须看的。(The text of the classic color transfer algorithm and the source code, is the study of color transfer must see it. )
    2013-09-28 16:19:42下载
    积分:1
  • hyergraph
    几个流行的超图匹配代码 张量,随机游动,谱的(hyergraph matching)
    2011-11-19 10:01:13下载
    积分:1
  • GausPyramid
    高斯金字塔-对图像进行高斯金字塔表示,先进行高斯滤波,然后逐层抽样(Gaussian Pyramid- Gaussian pyramid of images, said first Gaussian filter, and then layer-by-layer sample)
    2009-05-08 11:25:24下载
    积分:1
  • mpiv_toolbox
    说明:  用于粒子图像测速技术的图像处理,分析得到流场信息(Image Processing for Particle Image Velocimetry and Flow Field Information Analysis)
    2020-12-18 15:59:11下载
    积分:1
  • gusu
    利用visualC++和图像处理的知识,编写程序对果蔬进行自动识别(Using visualC++ and image processing knowledge, write a program for automatic identification of fruits and vegetables)
    2010-10-17 22:47:17下载
    积分:1
  • window
    可根据需要自定义窗口形状,用于各种特效窗口开发(Customizable window shape, for a variety of special effects needed to develop window)
    2014-02-07 14:42:46下载
    积分:1
  • lb
    说明:  内含M文件 利用对数比实现,两幅多时空SAR图像变化差异图 (Logarithm figure than the implementation differences )
    2020-10-31 15:29:56下载
    积分:1
  • lizilvbo
    粒子滤波去噪 含噪情况下应用粒子滤波技术可以去除噪声(Particle filtering noise with noise case using particle filtering techniques can remove noise)
    2013-05-06 17:33:51下载
    积分:1
  • 696516资源总数
  • 106918会员总数
  • 4今日下载