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RPCA_MC

于 2015-05-02 发布 文件大小:13958KB
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下载积分: 1 下载次数: 68
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代码说明：

  图像修复的改进算法，RPCA算法程序代码，实现图像的去噪和复原(Improved algorithm of image restoration, RPCA algorithm program code, to achieve image denoising and restoration)

文件列表：

RPCA_MC
.......\demo_alm_f.m,2026,2015-04-23
.......\demo_jubu.m,1945,2015-04-23
.......\demo_mc.m,1370,2015-04-23
.......\demo_mc_rpca.m,2003,2015-04-23
.......\demo_mc_rpca_f.m,2009,2015-04-23
.......\image





.......\.....\11.JPG,41255,2015-04-23
.......\.....\11.png,201366,2015-04-23
.......\.....\12.JPG,37809,2015-04-23
.......\.....\12.png,254176,2015-04-23
.......\.....\120.JPG,15317,2015-04-23
.......\.....\12S93L5310-5E53.jpg,56266,2015-04-23
.......\.....\19300000676354132616151152837.jpg,51663,2015-04-23
.......\.....\2.jpg,5524,2015-04-23
.......\.....\20071019212617786_2.jpg,74588,2015-04-23
.......\.....\2012-11-08 19.03.16.jpg,1519209,2015-04-23
.......\.....\2222.jpg,11256,2015-04-23
.......\.....\3.jpg,15392,2015-04-23
.......\.....\3048218_145832137438_2.jpg,184188,2015-04-23
.......\.....\4.jpg,3398,2015-04-23
.......\.....\40.JPG,24499,2015-04-23
.......\.....\4646846_092900601103_2.jpg,52529,2015-04-23
.......\.....\5.jpg,34161,2015-04-23
.......\.....\5916570_211717485384_2.jpg,101873,2015-04-23
.......\.....\6.jpg,1154,2015-04-23
.......\.....\7.jpg,4163,2015-04-23
.......\.....\bfc8a4130be49c367860f3f679354795.jpg,34161,2015-04-23
.......\.....\boat-40.jpg,36179,2015-04-23
.......\.....\boat-r-40.mat,1967479,2015-04-23
.......\.....\building1.jpg,235457,2015-04-23
.......\.....\building2.jpg,180665,2015-04-23
.......\.....\building3.jpg,92757,2015-04-23
.......\.....\building_tree.bmp,921654,2015-04-23
.......\.....\cameraman.tif,65240,2015-04-23
.......\.....\cream1.tif,30308,2015-04-23
.......\.....\feiji1.png,61190,2015-04-23
.......\.....\huahen.JPG,52592,2015-04-23
.......\.....\lenna.bmp,66614,2015-04-23
.......\.....\liftingbody.png,125388,2015-04-23
.......\.....\pattern1.jpg,57166,2015-04-23
.......\.....\tiaoxingmaimage





.......\.....\...............\154345.jpg,26593,2015-04-23
.......\.....\...............\20071019212617786_2.jpg,74588,2015-04-23
.......\.....\...............\2010715172519585.gif,2598,2015-04-23
.......\.....\...............\201305271354.jpg,901215,2015-04-23
.......\.....\...............\201305291359.jpg,588586,2015-04-23
.......\.....\...............\201305291367.jpg,1004729,2015-04-23
.......\.....\...............\201305291370.jpg,816627,2015-04-23
.......\.....\...............\201305291373.jpg,1089647,2015-04-23
.......\.....\...............\4646846_092900601103_2.jpg,52529,2015-04-23
.......\.....\...............\5916570_211717485384_2.jpg,101873,2015-04-23
.......\.....\...............\a9d3fd1f4134970a31fe91c795cad1c8a6865d4c.jpg,121125,2015-04-23
.......\.....\...............\W020090319368634093491.gif,3394,2015-04-23
.......\.....\...............\捕获1.JPG,17319,2015-04-23
.......\.....\...............\捕获2.JPG,38077,2015-04-23
.......\.....\...............\捕获22.JPG,24571,2015-04-23
.......\.....\...............\捕获3.JPG,22723,2015-04-23
.......\.....\...............\捕获5.JPG,31071,2015-04-23
.......\.....\...............\横着的.JPG,15776,2015-04-23
.......\.....\...............\涂改.JPG,28544,2015-04-23
.......\.....\...............\涂改一.JPG,28448,2015-04-23
.......\.....\...............\涂改原图.JPG,25934,2015-04-23
.......\.....\...............\缺失条码.JPG,36363,2015-04-23
.......\.....\wenli.jpg,25934,2015-04-23
.......\.....\window1.jpg,7514,2015-04-23
.......\.....\二维码.JPG,40762,2015-04-23
.......\.....\低秩299.JPG,24655,2015-04-23
.......\.....\划痕1.JPG,43774,2015-04-23
.......\.....\划痕11.JPG,52592,2015-04-23
.......\.....\划痕2.JPG,63950,2015-04-23
.......\.....\划痕3.JPG,16964,2015-04-23
.......\.....\划痕4.JPG,98619,2015-04-23
.......\.....\划痕5.JPG,64087,2015-04-23
.......\.....\划痕6.JPG,21182,2015-04-23
.......\.....\划痕9.JPG,22291,2015-04-23
.......\.....\国旗.JPG,32144,2015-04-23
.......\.....\图画.JPG,38253,2015-04-23
.......\.....\捕获.JPG,93795,2015-04-23
.......\.....\捕获1.JPG,84863,2015-04-23
.......\.....\文字.JPG,15193,2015-04-23
.......\.....\新型.JPG,38110,2015-04-23
.......\.....\条形码.JPG,64104,2015-04-23
.......\.....\ȱʧ.JPG,38362,2015-04-23
.......\inexact_alm_mc
.......\..............\alm_f.m,5338,2015-04-23
.......\..............\Atxz.m,306,2015-04-23
.......\..............\Axz.m,298,2015-04-23
.......\..............\biankuang.m,1150,2015-04-23
.......\..............\choosvd.m,559,2015-04-23

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0 个回复

  • image-mosaic-using-SIFT
    Image Mosaicing interesting application in computer vision
    2012-11-30 00:53:20下载
    积分：1
  • AVIRIS
    AVIRIS 高光谱遥感数据,220个波段，145*145(AVIRIS Hyperspectral data,220bands，145*145)
    2014-06-20 11:33:01下载
    积分：1
  • pupildetectOK
    在VC6.0环境下，借助openCV函数库，对视频中的人脸进行检测，并实时跟踪，然后用Haar特征的分类器定位人脸，并检测瞳孔存在与否，提取关于眼睛的疲劳信息(In VC6.0 environment, with the aid of openCV function library, to detect human faces in video, and real-time tracking, positioning and use characteristics of Haar classifier faces, and examine the pupil existence, to extract the information about the fatigue of the eye)
    2014-04-14 23:00:39下载
    积分：1
  • meanshift
    此代码是通过matlab实现图像的平滑与分割！(This code complete a image smooth and segmentation！)
    2011-11-23 11:26:20下载
    积分：1
  • 图像配准C++版
    图像配准C++版
    2020-11-30下载
    积分：1
  • bysjtuxiang
    毕业设计的程序 用VC++6.0做的 主要是测试几个边缘检测算子的效果(Graduate programs designed to use VC++ 6.0 to do is to test several of the main edge detection operator effect)
    2008-02-28 12:23:34下载
    积分：1
  • FusionCode1
    针对多聚焦图像融合，本文首先介绍了小波变换融合算法，虽然小波变换方法无冗余，高频分量损失较小，具有较好的融合效果，但存在两个主要缺点：一是移变性，二是融合图像在重构时会受到一些外来因素的影响，所以仍会丢失一些边缘信息，为了克服小波变换法的以上缺点，可以采用基于小波分解和点扩展函数模型PSF相结合的融合方法。该方法首先对不同的图像进行无降2采样的小波分解，以保持与源图像大小相同，然后分别将其各方向、各尺度的高频分量进行叠加，并依此提取其高频分量的特征信息来判定清晰目标或模糊目标，以此来设计融合算法，采用一定的策略将两副源图像进行融合，从而避开了小波的反变换，因此融合后的图像具有比小波变换法更好的融合效果。(multi-focus image fusion, this paper introduces the wavelet transform algorithm, Although the wavelet transform non-redundant, the loss of high-frequency components are smaller, better integration effect, But there are two major drawbacks : First, the shift variability and the second is the integration of image reconstruction will be subject to a number of external factors. Therefore, there would still be some marginal loss of information, in order to overcome the wavelet transform of the above shortcomings, can be used based on wavelet decomposition and the point spread function PSF model combining the fusion method. The first pair of different images ratchet two sampling wavelet decomposition, and to maintain the same source image size. Then all of its direction, the scale of high-freque)
    2007-05-11 00:36:13下载
    积分：1
  • guss
    【高斯核函数改进 参考价值1】LBF活动轮廓模型的改进.pdf【高斯核函数的改进 参考价值5】单核和多核相关向量机的比较研究.pdf([Gaussian kernel improved reference value 1] .pdf LBF improved active contour models comparative study [.pdf Gaussian kernel improvements reference 5] single and multi-core related vector machine)
    2015-05-29 23:33:10下载
    积分：1
  • a
    说明：  ：基于主动轮廓识别和被动轮廓识别方法各自的优缺点，提出结合主动和被动的方法，先对图像进行被动轮廓的预处理，然 后再应用主动轮廓的方法，通过比较选出Canny算子进行预处理，再通过基于概率的方法分割图像，最后再应用Snake模型进行 轮廓提取。并取得较好的应用。(: Identification Based on Active Contour and passive contour recognition advantages and disadvantages of each method, proposed method of combining active and passive, passive first outline of the image pre-processing before applying the active contour method, by comparing the pre-selected Canny operator treatment, and then through the image segmentation method based on probability, and finally application of Snake model for contour extraction. And get better application.)
    2011-06-02 17:14:26下载
    积分：1
  • 直方图均衡化
    说明：  直方图均衡化能自动地增强整个图像的对比度，但它的具体增强效果不好控制，处理的结果总是得到全局均衡化的直方图，对数据的处理不加选择，可考虑采用自适应直方图均衡化（AHE），可改进图像的局部对比度以及获取更多的图像细节。MATLAB代码均可直接运行实现。(Digital image processing histogram equalization,Adaptive histogram equalization)
    2020-03-16 12:18:29下载
    积分：1
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