登录
首页 » matlab » SparseLab200-Core

SparseLab200-Core

于 2010-11-07 发布 文件大小:26949KB
0 96
下载积分: 1 下载次数: 259

代码说明:

  基于多帧图像插值(Interpolation)技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息,获得HR图像在非均 匀间距采样点上的象素值,接着通过非均匀插值得到HR栅格上的象素值,最后 采用图像恢复技术来去除模糊和降低噪声(运动估计!非均匀插值!去模糊和 噪声)。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )

文件列表:

SparseLab200-Core
.................\CompSense
.................\.........\CompSense_Elad_IEEETSP.pdf,243852,2006-12-26
.................\.........\CompSense_Fig2.m,551,2007-01-02
.................\.........\CompSense_Fig3.m,3914,2007-01-02
.................\.........\CompSense_Fig4.m,4056,2007-01-02
.................\.........\CompSense_Fig5.m,4056,2007-01-02
.................\.........\CompSense_Fig6.m,6925,2007-01-02
.................\.........\CompSense_Fig7.m,6791,2007-01-02
.................\.........\mulmd.m,168,2007-03-24
.................\Contents.m,2026,2006-07-30
.................\Documentation
.................\.............\AboutSparseLab
.................\.............\..............\AboutSparseLab.aux,2957,2007-03-24
.................\.............\..............\AboutSparseLab.dvi,71888,2007-03-24
.................\.............\..............\AboutSparseLab.log,7765,2007-03-24
.................\.............\..............\AboutSparseLab.pdf,157163,2007-03-24
.................\.............\..............\AboutSparseLab.ps,279181,2007-03-24
.................\.............\..............\AboutSparseLab.tex,43775,2007-03-24
.................\.............\..............\AboutSparseLab.toc,2224,2007-03-24
.................\.............\..............\Contents.m,679,2007-03-24
.................\.............\..............\References.tex,1119,2006-05-06
.................\.............\..............\SparseMacros.tex,1628,2007-03-24
.................\.............\ADDINGNEWFEATURES.m,245,2006-07-30
.................\.............\BUGREPORT.m,245,2006-07-30
.................\.............\Contents.m,1537,2007-03-24
.................\.............\COPYING.m,245,2006-07-30
.................\.............\DATASTRUCTURES.m,692,2006-07-30
.................\.............\FEEDBACK.m,657,2006-07-30
.................\.............\GETTINGSTARTED.m,825,2006-07-30
.................\.............\INSTALLATION.m,10967,2006-07-30
.................\.............\LIMITATIONS.m,335,2006-07-30
.................\.............\PAYMENT.m,884,2006-07-30
.................\.............\REGISTRATION.m,723,2006-07-30
.................\.............\SparseLabArchitecture
.................\.............\.....................\Contents.m,760,2007-03-24
.................\.............\.....................\SparseArch.aux,5011,2007-03-24
.................\.............\.....................\SparseArch.dvi,50040,2007-03-24
.................\.............\.....................\SparseArch.log,14716,2007-03-24
.................\.............\.....................\SparseArch.pdf,143163,2007-03-24
.................\.............\.....................\SparseArch.ps,230345,2007-03-24
.................\.............\.....................\SparseArch.tex,37761,2007-03-24
.................\.............\.....................\SparseMacros.tex,1627,2007-03-24
.................\.............\SUPPORT.m,810,2006-07-30
.................\.............\THANKS.m,938,2006-07-30
.................\.............\VERSION.m,266,2006-07-30
.................\.............\WARRANTY.m,1356,2006-07-30
.................\Examples
.................\........\Contents.m,699,2007-03-24
.................\........\nnfEx
.................\........\.....\Contents.m,754,2006-07-30
.................\........\.....\FastOp.m,585,2006-07-30
.................\........\.....\NNF.m,1245,2006-07-30
.................\........\.....\SolveIterSoftThresh.m,1939,2006-07-30
.................\........\reconstructionEx
.................\........\................\Contents.m,798,2006-07-30
.................\........\................\FastOp.m,493,2006-07-30
.................\........\................\FastOpLS.m,454,2006-07-30
.................\........\................\Reconstruction.m,916,2006-07-30
.................\........\................\TransformSparsify.m,1157,2006-07-30
.................\........\RegEx
.................\........\.....\Contents.m,1247,2006-07-30
.................\........\.....\RegEx.m,744,2006-07-30
.................\........\.....\RegEx01.m,716,2006-07-30
.................\........\.....\RegEx02.m,791,2006-07-30
.................\........\.....\RegEx03.m,723,2006-07-30
.................\........\.....\RegEx04.m,749,2006-07-30
.................\........\.....\RegExShowAllFigs.m,390,2006-07-30
.................\........\TFDecompEx
.................\........\..........\Contents.m,748,2006-07-30
.................\........\..........\RST.m,424,2006-07-30
.................\........\..........\RSTMatrix.m,320,2006-07-30
.................\........\..........\TFDecompEX.m,1878,2006-07-30
.................\Papers
.................\......\Contents.m,1693,2007-03-24
.................\......\ExtCS
.................\......\.....\Contents.m,677,2006-07-30
.................\......\.....\ExtCS.pdf,864638,2006-05-01
.................\......\.....\ExtCSDemo
.................\......\.....\.........\Contents.m,1041,2006-07-30
.................\......\.....\.........\ExtCSDemo.m,11692,2006-07-30
.................\......\.....\.........\ExtCSFig.m,1234,2006-07-30
.................\......\.....\.........\ExtCSInit.m,250,2006-07-30
.................\......\.....\.........\ExtCSIntro.m,250,2006-07-30
.................\......\.....\.........\ExtCSPath.m,541,2006-07-30
.................\......\.....\.........\GenData
.................\......\.....\.........\.......\BoundData1.mat,23808,2005-05-30
.................\......\.....\.........\.......\BoundData2.mat,83616,2005-05-30
.................\......\.....\.........\.......\BoundDataFourier.mat,7864,2005-05-30
.................\......\.....\.........\.......\BoundDataHadamard.mat,7864,2005-05-30
.................\......\.....\.........\.......\BoundDataSigns.mat,7864,2005-05-30
.................\......\.....\.........\.......\BoundDataUniform.mat,7864,2005-05-30
.................\......\.....\.........\.......\Contents.m,1649,2006-07-30
.................\......\.....\.........\.......\CpVec.mat,504,2005-05-30
.................\......\.....\.........\.......\DataL0_100.mat,664,2005-05-30
.................\......\.....\.........\.......\DataL0_20.mat,664,2005-05-30
.................\......\.....\.........\.......\DataL0_50.mat,664,2005-05-30
.................\......\.....\.........\.......\GenBoundData1.m,1279,2006-07-30
.................\......\.....\.........\.......\GenBoundData2.m,1218,2006-07-30
.................\......\.....\.........\.......\GenBoundDataFourier.m,1590,2006-07-30

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

  • KNN手写数字识别
    说明:  可支持手写数字识别,r和python两种语言编写,生成画板鼠标手写输入,也支持上传图片(Handwritten digit recognition)
    2020-06-26 21:00:01下载
    积分:1
  • graydegree
    关联下载,用于灰度相似度说明,欢迎下载使用,我感觉最好开源比较好(Download link for the gray-scale similarity shows that the use of welcome to download, I feel the best open source is better)
    2007-11-08 20:26:44下载
    积分:1
  • Multiscale_Retinex-master
    说明:  SSR单尺度图像增强 MSR多尺度Retinex图像增强模型(MSR Multiscale Retinex Image Enhancement Model)
    2019-01-17 19:47:32下载
    积分:1
  • detect
    用于矩形检测的源代码,已配说明,易看懂。但不适合于车牌检测等复杂的矩形检测(Rectangular detection for the source code has been assigned that easy to understand. But not suitable for detection of license plate detection rectangular complex)
    2009-07-03 10:39:26下载
    积分:1
  • duojieguoyuansu
    本程序是多结构元素形态学滤波的探讨,通过选择不同的结构元素多尺度序列Bi,来得到最合适的结果(This program is a multi-structure elements of morphological filtering by selecting different multi-scale structure elements sequence Bi, get the most appropriate results)
    2013-04-10 10:19:43下载
    积分:1
  • naiman_v21
    实现了图像的加水印,去噪,加噪声等功能,小波包分析提取振动信号中的特征频率,是机器学习的例程。( Realize image watermarking, de-noising, plus noise and other functions, Wavelet packet analysis to extract vibration signal characteristic frequency, Machine learning routines.)
    2017-01-16 13:13:33下载
    积分:1
  • infraredTargeDetection
    完成硕士论文期间,自己编的红外图像增强及目标检测演示界面(Completed master)
    2020-10-28 09:49:58下载
    积分:1
  • 湍流实验
    avi视频读取,与播放,并将图像的每一帧保存下来(avi video reads, plays with, and saves each frame of the image)
    2017-11-18 14:44:08下载
    积分:1
  • chage
    把图像处理的MATALAB程序转化为C++程序(put image processing procedures into MATLAB C Program)
    2007-07-10 17:26:51下载
    积分:1
  • weinafilter
    本程序可实现维纳滤波,可应用于反褶积等反问题的求解过程中,是非常简单实用的(This program can be realized Wiener filter can be applied to deconvolution inverse problems and the process is very simple and practical)
    2016-07-25 20:18:58下载
    积分:1
  • 696518资源总数
  • 104242会员总数
  • 49今日下载