登录
首页 » matlab » Fast-a-Robust-Super-Resolution(BTV)

Fast-a-Robust-Super-Resolution(BTV)

于 2021-05-13 发布 文件大小:8346KB
0 214
下载积分: 1 下载次数: 458
我要下载

代码说明：

  Fast_and_Robust_Multi-Frame_Super-Resolution这篇文章的算法实现。内含BTV算法和改进的btv算法实现超分辨率重建。(This article Fast_and_Robust_Multi-Frame_Super-Resolution algorithm. Containing BTV algorithm and improved the btv algorithm to achieve super-resolution reconstruction.)

文件列表：

Fast & Robust Super Resolution(BTV)
...................................\Alpaca.mat,676040,2007-07-14
...................................\CreateLRImageSeq.m,1030,2007-07-28
...................................\eia_lr.mat,1037000,2007-08-03
...................................\Emily_small.mat,100384,2007-07-27
...................................\FastGradientBackProject.m,896,2007-07-28
...................................\FastRobustSR.m,1467,2007-07-28
...................................\Fast_and_Robust_Multi-Frame_Super-Resolution.pdf,5315639,2013-03-05
...................................\GradientBackProject.m,1537,2007-07-28
...................................\GradientRegulization.m,1029,2007-07-28
...................................\LKOFlow
...................................\.......\Affine
...................................\.......\......\ComputeLKFlowParms.m,986,2007-06-29
...................................\.......\......\GaussianDownSample.m,768,2007-05-11
...................................\.......\......\GuassianPyramid.m,812,2007-05-11
...................................\.......\......\IterativeLKOpticalFlow.m,1585,2007-07-06
...................................\.......\......\PyramidalLKOpticalFlow.m,1947,2007-06-30
...................................\.......\......\RegisterImageSeq.m,914,2007-07-21
...................................\.......\......\ResampleImg.m,463,2007-06-30
...................................\.......\ComputeLKFlowParms.m,780,2007-07-07
...................................\.......\GaussianDownSample.m,768,2007-05-11
...................................\.......\GuassianPyramid.m,812,2007-05-11
...................................\.......\IterativeLKOpticalFlow.m,1466,2007-07-07
...................................\.......\PyramidalLKOpticalFlow.m,1790,2007-07-21
...................................\.......\RegisterImageSeq.m,418,2007-07-21
...................................\.......\ResampleImg.m,282,2007-05-11
...................................\LoadVideoMat.m,267,2007-07-14
...................................\MedianAndShift.asv,3588,2013-03-08
...................................\MedianAndShift.m,3588,2013-03-08
...................................\Presentation.ppt,280064,2013-03-06
...................................\Res.zip,1645280,2013-03-05
...................................\RobustSR.m,1393,2007-07-28
...................................\SplineSRInterp.asv,1495,2013-03-05
...................................\SplineSRInterp.m,1540,2013-03-05
...................................\SRDemo.fig,10985,2007-08-07
...................................\SRDemo.m,18968,2007-08-07
...................................\text.mat,83984,2007-08-03
...................................\text1.mat,59041,2013-02-25

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

  • ksvdsbox11-min
    KSVD字典训练程序，用于生成适应于图像内容的稀疏字典。稀疏描述必读程序。(KSVD dictionary training program used to generate a sparse dictionary adapted to image content. Sparse description of the Privacy Policy program.)
    2012-08-16 16:42:23下载
    积分：1
  • YuZhiQuZao
    一个阈值去噪程序，包括经典的去噪方法，如折中阈值，自适应阈值等等。(A threshold denoising procedures, including the classical denoising methods, such as compromise threshold, adaptive threshold and so on.)
    2009-03-23 21:46:48下载
    积分：1
  • complex-background
    随着红外成像技术的发展，红外小目标检测在军事领域有越来越重要的应用。以此为背景，研究了天空、海面、大地等各种背景下红外视频中弱小目标的检测问题。 (With the development of infrared technology,dim small targets detection play a more and more important part in the military. The problem of dim small targets detecting in a infrared video with the background of the sky,the sea and the groundhas been studied. )
    2021-04-08 15:59:00下载
    积分：1
  • 007
    小波包在信号处理中的应用（信号时频分析、信号消噪、信号压缩）(Wavelet packet in signal processing of the application (signal frequency analysis, signal de-noising, signal compression) )
    2012-03-23 10:06:07下载
    积分：1
  • otsu_filterlocal
    改进的otsu算法，计算局部otsu的值确定局部小区域。对于光照不均匀图像处理有比较好的适应( Improved otsu algorithm to calculate the value of the local otsu determine the local small area. For uneven illumination image processing has a relatively good adaptation)
    2016-08-09 15:18:40下载
    积分：1
  • A-Wavelet-Tour-of-Signal-Processing
    信号处理的小波导引：稀疏方法（原书第3版） 《信号处理的小波导引：稀疏方法（原书第3版）》全面论述了稀疏表示的重要概念、技术和应用，反映了该主题在当今信号处理领域所起的关键作用。作者在解释了稀疏的主要概念后将其运用于信号压缩、噪声衰减和逆问题，同时给出了冗余字典、超分辨率和压缩感知中的稀疏表示。 　　本书既可以让应用数学系的学生了解数学公式的工程意义，也可以让计算机及电子工程系的学生了解工程问题的数学描述。对于小波理论与应用的研究人员，本书更是一本极具价值的参考书。(a Wavelet Tour of Signal Processing(Third Edition.The Sparse Way))
    2016-03-23 15:27:38下载
    积分：1
  • MeanShift
    一个不错的Meanshift算法流程图 初学者可以看看(failed to translate)
    2013-05-03 16:45:14下载
    积分：1
  • roa
    ROA算法代码，用来进行SAR图像的道路段检测的比较流行的算法之一(for SAR road detection)
    2009-04-20 17:46:39下载
    积分：1
  • kmeans1
    k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）(k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix))
    2008-05-31 13:17:32下载
    积分：1
  • AGAST-corner-detector
    多尺度快速角点检测算法（FAST).Adaptive and generic corner detection based on the accelerated segment test. 出处 Computer Vision–ECCV 2010(Multi-scale fast corner detection algorithm (FAST) Adaptive and generic corner detection based on the accelerated segment test. Computer Vision-ECCV 2010)
    2020-09-21 18:27:51下载
    积分：1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2025 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！