登录
首页 » matlab » SR

SR

于 2011-04-24 发布 文件大小:8423KB
0 238
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

  • target_pipei
    采用模版匹配方法进行文字、局部图像的匹配....采用ssda算法(The template matching method for text, local image matching... The ssda algorithm)
    2012-12-04 14:36:27下载
    积分:1
  • 220KVmainelectricalwiringdiagram
    说明:  一个十分典型的220KV电气主接线图,让初学者能很好理解电气接线图的特点(A very typical 220KV main electrical wiring diagram, so that beginners can well understand the characteristics of electrical wiring diagram)
    2021-04-13 18:48:56下载
    积分:1
  • TV
    说明:  TV算法的MATLAB版,绝对好用,已经经过本人测试过的(TV algorithm in MATLAB version, absolutely easy to)
    2012-07-23 10:56:48下载
    积分:1
  • OCR
    C#的图像处理,用于验证码的识别功能,可以识别简单的有背景干扰的验证码(C# image processing, is used to identify functional verification code, you can recognize simple background interference verification code)
    2013-12-23 15:50:22下载
    积分:1
  • hsv_file
    本代码主要是基于HSV的阴影检测及消除,分别提取前景及背景图像,进行色彩空间转换。HSV空间类似人类感觉色彩的方式,可以更加准确地识别阴影,并保持在计算上简单。(This code is mainly based on the HSV shadow detection and elimination, extract the foreground and the background image, respectively, for color space conversion. HSV space is similar to the ways the human feel color, can more accurately identify the shadow, and keep it simple in calculation. )
    2013-05-27 08:27:32下载
    积分:1
  • Extractionoffaultfeaturevector
    用小波包提取故障特征向量并归一化,很实用,论文里的部分程序(Extracted using wavelet packet fault eigenvector and normalized, it is useful, some of the procedures in the thesis)
    2021-03-22 10:09:16下载
    积分:1
  • snake
    主动轮廓模型也就是snake模型进行图像分割,一种由图像高层信息的图像分割算法。(snake model,active contour model,image segmentation)
    2020-12-20 19:09:08下载
    积分:1
  • gtcgdwh
    vc编写数字图像处理的程序,其中有图像处理的各种方法的程序(Vc write a digital image processing program, including the various methods of image processing program)
    2017-04-28 07:28:22下载
    积分:1
  • 用Python语言实现Poisson Image Editing(泊松编辑)算法
    用Python语言实现Poisson Image Editing(泊松图像编辑)算法(implementation of Poisson Image Editing algorithm with python.)
    2020-07-05 00:00:02下载
    积分:1
  • lvbo
    几种图像去燥以及图像增强的滤波器示例,中值滤波,陷波滤波器、频域低通滤波,均值滤波等(Several examples of image de dryness and image enhancement filters, median filtering, notch filter, frequency domain low-pass filtering, mean filtering, etc.)
    2018-07-19 13:50:33下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载