登录
首页 » matlab » SR

SR

于 2011-04-24 发布 文件大小:8423KB
0 234
下载积分: 1 下载次数: 1

代码说明:

说明:  利用稀疏矩阵思想进行图像的超分辨率重建,效果较好。(Thinking of using sparse matrix for image super-resolution reconstruction, the effect is better.)

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
....\README.dat,1413,2011-03-07
....\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
....\.............\sc2
....\.............\...\cgf_fitS_sc2.m,3844,2009-03-05
....\.............\...\cgf_sc.c,10303,2009-03-05

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

  • zernike_ydiff
    zernike不变矩。特征提取方法。基于形状的特征提取方法。(zernike moment invariants. Feature extraction methods. Shape-based feature extraction method.)
    2014-06-18 18:25:32下载
    积分:1
  • 07-1541175762-687107
    赵巨峰,陶小平,*冯华君,徐之海,李奇, 基于梯度的波纹图像质量评价 [J], 浙大学报工学版, 2010, 44(5):870-874.(Gradient based ripple image quality assessment)
    2020-06-16 20:20:02下载
    积分:1
  • siftWin32
    sift算法的核心,siftWin32.exe的源程序,可执行,可导入Matlab(The core of the SIFT algorithm, the source of siftWin32.exe, executable, can be imported to Matlab)
    2018-02-08 21:21:57下载
    积分:1
  • GSM
    基于梯度相似度的图像质量评价方法,发表在2012年TIP国际期刊上(A. Liu, W. Lin, M. Narwaria, “Image Quality Assessment Based on Gradient Similarity,” IEEE Transactions on Image Processing, vol. 21(4), pp. 1500-1512, 2012.)
    2020-12-04 23:09:23下载
    积分:1
  • Local-dynamic-threshold
    针对图像全局Otsu 分割算法和传统的局部阈值分割算法在复杂背景图像分割中的不足, 提出了一种采用局部动态阈值的图像分割算法。(Image segmentation algorithm for global Otsu and traditional local threshold segmentation algorithm in complex background image segmentation the insufficiency, puts forward a dynamic threshold use local image segmentation algorithm.)
    2012-05-06 16:47:35下载
    积分:1
  • shrink
    利用opencv工具包的图像缩小程序利用opencv工具包的图像缩小程序利用opencv工具包的图像缩小程序(image shrink with opencv image shrink with opencv image shrink with opencv)
    2010-01-18 11:06:40下载
    积分:1
  • blur
    本文是中值滤波的一些应用,个人觉得中值滤波比一些算子滤波效果要好得多(This article is median filtering applications, personal feel median filter is much better than some of the filtering effect of the operator)
    2012-10-09 20:26:27下载
    积分:1
  • MATLAB片点的素坐标
    基于MATLAB平台下,可获取图片任意点的像素坐标。(Based on MATLAB platform, the pixel coordinates of any point in the picture can be obtained.)
    2019-03-18 09:56:21下载
    积分:1
  • FCRN-DepthPrediction-master
    说明:  使用tensorflow框架搭建神经网络,从单目图像中估计深度值(Using tensorflow framework to build a neural network to estimate depth from monocular images)
    2019-03-22 15:04:04下载
    积分:1
  • sfun_mppt_vinc
    光伏逆变系统中的最大功率点跟踪算法,采用的是快速收敛的改进的变步长的电导增量方法,由s函数编写(maximum power point tracking method, using variable step size inc method,written by s-function)
    2020-11-07 22:09:48下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载