文件名称:ScSR
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- 上传时间：
- 2018-11-27
- 文件大小：
- 26.37mb
- 下载次数：
- 0次
- 提 供 者：
- 那**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
杨建超的将稀疏表达用于图像超分辨率重建的文章赋代码(Example matlab code for the algorithm proposed in "Image super-resolution via sparse representation" TIP 2010.)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| ScSR | 0 | 2018-11-26 |
| ScSR\Data | 0 | 2011-03-07 |
| ScSR\Data\Testing | 0 | 2018-11-26 |
| ScSR\Data\Testing\gnd.bmp | 196662 | 2011-01-10 |
| ScSR\Data\Testing\input.bmp | 49206 | 2011-01-18 |
| ScSR\Data\Testing\result.bmp | 196662 | 2011-01-28 |
| ScSR\Data\Training | 0 | 2018-11-26 |
| ScSR\Data\Training\t1.bmp | 104246 | 2007-10-14 |
| ScSR\Data\Training\t11.bmp | 118614 | 2007-10-14 |
| ScSR\Data\Training\t12.bmp | 40990 | 2007-10-14 |
| ScSR\Data\Training\t13.bmp | 101010 | 2007-10-14 |
| ScSR\Data\Training\t14.bmp | 76990 | 2007-10-14 |
| ScSR\Data\Training\t16.bmp | 83894 | 2007-10-14 |
| ScSR\Data\Training\t17.bmp | 69786 | 2007-10-14 |
| ScSR\Data\Training\t18.bmp | 55782 | 2007-10-14 |
| ScSR\Data\Training\t19.bmp | 96174 | 2007-10-14 |
| ScSR\Data\Training\t2.bmp | 92418 | 2007-10-14 |
| ScSR\Data\Training\t20.bmp | 18462 | 2007-10-14 |
| ScSR\Data\Training\t21.bmp | 41346 | 2007-10-14 |
| ScSR\Data\Training\t22.bmp | 59718 | 2007-10-14 |
| ScSR\Data\Training\t23.bmp | 46902 | 2007-10-14 |
| ScSR\Data\Training\t24.bmp | 37290 | 2007-10-14 |
| ScSR\Data\Training\t25.bmp | 125190 | 2007-10-14 |
| ScSR\Data\Training\t26.bmp | 58742 | 2007-10-14 |
| ScSR\Data\Training\t27.bmp | 126030 | 2007-10-14 |
| ScSR\Data\Training\t28.bmp | 92550 | 2007-10-14 |
| ScSR\Data\Training\t3.bmp | 89334 | 2007-10-14 |
| ScSR\Data\Training\t30.bmp | 61662 | 2007-10-14 |
| ScSR\Data\Training\t31.bmp | 101670 | 2007-11-09 |
| ScSR\Data\Training\t32.bmp | 86646 | 2007-11-09 |
| ScSR\Data\Training\t34.bmp | 66362 | 2007-11-09 |
| ScSR\Data\Training\t35.bmp | 125306 | 2007-11-09 |
| ScSR\Data\Training\t36.bmp | 114102 | 2007-11-23 |
| ScSR\Data\Training\t37.bmp | 312390 | 2007-11-22 |
| ScSR\Data\Training\t38.bmp | 200054 | 2007-11-22 |
| ScSR\Data\Training\t39.bmp | 197350 | 2007-11-22 |
| ScSR\Data\Training\t4.bmp | 128646 | 2007-10-14 |
| ScSR\Data\Training\t40.bmp | 200082 | 2007-11-22 |
| ScSR\Data\Training\t42.bmp | 202814 | 2007-11-23 |
| ScSR\Data\Training\t43.bmp | 157134 | 2007-11-23 |
| ScSR\Data\Training\t44.bmp | 115722 | 2007-11-23 |
| ScSR\Data\Training\t46.bmp | 355146 | 2007-11-22 |
| ScSR\Data\Training\t47.bmp | 143574 | 2007-11-22 |
| ScSR\Data\Training\t48.bmp | 135462 | 2007-11-22 |
| ScSR\Data\Training\t49.bmp | 243022 | 2007-11-22 |
| ScSR\Data\Training\t5.bmp | 70734 | 2007-10-14 |
| ScSR\Data\Training\t50.bmp | 259958 | 2007-11-22 |
| ScSR\Data\Training\t51.bmp | 251910 | 2007-11-22 |
| ScSR\Data\Training\t52.bmp | 207090 | 2007-11-22 |
| ScSR\Data\Training\t59.bmp | 214134 | 2007-11-23 |
| ScSR\Data\Training\t6.bmp | 90102 | 2007-10-14 |
| ScSR\Data\Training\t60.bmp | 141394 | 2007-11-23 |
| ScSR\Data\Training\t61.bmp | 111254 | 2007-11-23 |
| ScSR\Data\Training\t62.bmp | 118194 | 2007-11-23 |
| ScSR\Data\Training\t63.bmp | 148726 | 2007-11-23 |
| ScSR\Data\Training\t66.bmp | 234090 | 2007-11-22 |
| ScSR\Data\Training\t7.bmp | 83898 | 2007-10-14 |
| ScSR\Data\Training\tt1.bmp | 407454 | 2009-05-21 |
| ScSR\Data\Training\tt12.bmp | 343350 | 2009-05-21 |
| ScSR\Data\Training\tt14.bmp | 153462 | 2009-05-21 |
| ScSR\Data\Training\tt15.bmp | 216534 | 2009-05-21 |
| ScSR\Data\Training\tt17.bmp | 238878 | 2009-05-21 |
| ScSR\Data\Training\tt18.bmp | 95898 | 2009-05-21 |
| ScSR\Data\Training\tt19.bmp | 190454 | 2009-05-21 |
| ScSR\Data\Training\tt2.bmp | 459162 | 2009-05-21 |
| ScSR\Data\Training\tt20.bmp | 266442 | 2009-05-21 |
| ScSR\Data\Training\tt21.bmp | 383214 | 2009-05-21 |
| ScSR\Data\Training\tt24.bmp | 339414 | 2009-05-21 |
| ScSR\Data\Training\tt25.bmp | 414774 | 2009-05-21 |
| ScSR\Data\Training\tt26.bmp | 358494 | 2009-05-21 |
| ScSR\Data\Training\tt27.bmp | 283722 | 2009-05-21 |
| ScSR\Data\Training\tt3.bmp | 455238 | 2009-05-21 |
| ScSR\Data\Training\tt4.bmp | 427302 | 2009-05-21 |
| ScSR\Data\Training\tt5.bmp | 406314 | 2009-05-21 |
| ScSR\Data\Training\tt7.bmp | 142922 | 2009-05-21 |
| ScSR\Data\Training\tt9.bmp | 436926 | 2009-05-21 |
| ScSR\Demo_Dictionary_Training.m | 1437 | 2011-03-07 |
| ScSR\Demo_SR.m | 2399 | 2011-03-07 |
| ScSR\Dictionary | 0 | 2011-01-28 |
| ScSR\Dictionary\D_1024_0.15_5.mat | 983828 | 2011-01-04 |
| ScSR\Dictionary\D_512_0.15_5.mat | 492077 | 2011-01-04 |
| ScSR\L1QP_FeatureSign_yang.m | 1608 | 2009-09-30 |
| ScSR\Previous | 0 | 2011-10-30 |
| ScSR\Previous\SR-Results.rar | 3172715 | 2009-04-08 |
| ScSR\Previous\ScSR.rar | 12388885 | 2009-05-31 |
| ScSR\README.dat | 1483 | 2011-10-30 |
| ScSR\RegularizedSC | 0 | 2018-11-26 |
| ScSR\RegularizedSC\L1QP_FeatureSign_Set.m | 331 | 2010-01-30 |
| ScSR\RegularizedSC\L1QP_FeatureSign_yang.m | 1608 | 2009-09-30 |
| ScSR\RegularizedSC\construct_reg_mat.m | 394 | 2009-09-25 |
| ScSR\RegularizedSC\display_network_nonsquare2.m | 965 | 2009-03-05 |
| ScSR\RegularizedSC\getObjective_RegSc.m | 306 | 2009-09-24 |
| ScSR\RegularizedSC\l2ls_learn_basis_dual.m | 2371 | 2009-03-05 |
| ScSR\RegularizedSC\reg_sparse_coding.m | 3307 | 2010-12-24 |
| ScSR\RegularizedSC\regsc.m | 362 | 2009-09-25 |
| ScSR\RegularizedSC\sc2 | 0 | 2018-11-26 |
| ScSR\RegularizedSC\sc2\.svn | 0 | 2018-11-26 |
| ScSR\RegularizedSC\sc2\.svn\entries | 1600 | 2009-03-23 |
| ScSR\RegularizedSC\sc2\.svn\format | 2 | 2009-03-05 |
| ScSR\RegularizedSC\sc2\.svn\prop-base | 0 | 2011-03-06 |