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Patch_inpainting

于 2020-06-19 发布
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代码说明：

说明：  实现j基于patch的图像修复，可以比较好的实现功能(The image repair based on Patch can realize better function, based on Matlab not relayed on C.)

文件列表：

Patch_inpainting, 0 , 2016-08-12
Patch_inpainting\Lena_input.png, 10340 , 2015-12-04
Patch_inpainting\Lena.png, 473831 , 2015-11-24
Patch_inpainting\initialise_occlusion.m, 3282 , 2016-05-04
Patch_inpainting\nearest_neighbour_field.m, 1414 , 2015-12-07
Patch_inpainting\README.txt, 2390 , 2016-08-12
Patch_inpainting\imshow_occ.m, 402 , 2015-12-04
Patch_inpainting\inpaint_image.m, 2725 , 2016-08-12
Patch_inpainting\test_inpainting.m, 674 , 2016-08-12
Patch_inpainting\reconstruct_image.m, 2026 , 2015-12-07
Patch_inpainting\.git, 0 , 2015-12-04
Patch_inpainting\.git\COMMIT_EDITMSG, 420 , 2015-12-04
Patch_inpainting\.git\HEAD, 23 , 2015-12-04
Patch_inpainting\.git\config, 92 , 2015-12-04
Patch_inpainting\.git\index, 561 , 2015-12-04
Patch_inpainting\.git\description, 73 , 2015-12-04
Patch_inpainting\Draw_figures, 0 , 2015-12-03
Patch_inpainting\Draw_figures\show_frames_correspondances.m, 1605 , 2012-04-16
Patch_inpainting\Draw_figures\show_frames_correspondances.asv, 1351 , 2012-04-03
Patch_inpainting\Draw_figures\set_figure_property.m, 5918 , 2012-10-12
Patch_inpainting\Draw_figures\resetframes_callback.m, 1486 , 2012-10-12
Patch_inpainting\Draw_figures\resetanalysisbutton_callback.m, 1117 , 2015-11-10
Patch_inpainting\Draw_figures\resetanalysisbutton_callback.asv, 1216 , 2013-05-21
Patch_inpainting\Draw_figures\initialise_analysis_figure.m, 4204 , 2015-11-10
Patch_inpainting\Draw_figures\initialise_analysis_figure.asv, 4252 , 2013-05-23
Patch_inpainting\Draw_figures\get_line_coordinates.m, 1000 , 2012-11-14
Patch_inpainting\Draw_figures\get_line_coordinates.asv, 919 , 2012-11-14
Patch_inpainting\Draw_figures\get_figure_property.m, 3637 , 2012-04-11
Patch_inpainting\Draw_figures\get_figure_child.m, 282 , 2011-04-13
Patch_inpainting\Draw_figures\ds2nfu.zip, 2297 , 2012-04-02
Patch_inpainting\Draw_figures\ds2nfu.m, 3102 , 2012-04-03
Patch_inpainting\Draw_figures\changeiteration_callback.asv, 1268 , 2012-10-22
Patch_inpainting\Draw_figures\changeframepopup_callback.m, 1371 , 2012-11-30
Patch_inpainting\Draw_figures\changecorrespondanciespopup_callback.m, 1455 , 2013-03-27
Patch_inpainting\Draw_figures\changecorrespondanciespopup_callback.asv, 1486 , 2013-03-27
Patch_inpainting\Draw_figures\changeanalysispopup_callback.m, 1739 , 2013-03-04
Patch_inpainting\Draw_figures\axescoord2figurecoord.zip, 2134 , 2012-04-02
Patch_inpainting\Draw_figures\axescoord2figurecoord.m, 3224 , 2009-05-25
Patch_inpainting\Draw_figures\analyseshiftbutton_callback.m, 226 , 2012-10-12
Patch_inpainting\Draw_figures\analyse_shift_map.m, 4685 , 2015-12-03
Patch_inpainting\Draw_figures\.DS_Store, 6148 , 2015-05-13
Patch_inpainting\.git\logs, 0 , 2015-12-04
Patch_inpainting\.git\logs\HEAD, 615 , 2015-12-04
Patch_inpainting\.git\objects, 0 , 2015-12-04
Patch_inpainting\.git\info, 0 , 2015-12-04
Patch_inpainting\.git\info\exclude, 240 , 2015-12-04
Patch_inpainting\.git\hooks, 0 , 2015-12-04
Patch_inpainting\.git\hooks\update.sample, 3611 , 2015-12-04
Patch_inpainting\.git\hooks\pre-commit.sample, 1642 , 2015-12-04
Patch_inpainting\.git\hooks\pre-rebase.sample, 4898 , 2015-12-04
Patch_inpainting\.git\hooks\commit-msg.sample, 896 , 2015-12-04
Patch_inpainting\.git\hooks\prepare-commit-msg.sample, 1239 , 2015-12-04
Patch_inpainting\.git\hooks\post-update.sample, 189 , 2015-12-04
Patch_inpainting\.git\hooks\pre-applypatch.sample, 398 , 2015-12-04
Patch_inpainting\.git\hooks\pre-push.sample, 1352 , 2015-12-04
Patch_inpainting\.git\hooks\applypatch-msg.sample, 452 , 2015-12-04
Patch_inpainting\.git\branches, 0 , 2015-12-04
Patch_inpainting\.git\refs, 0 , 2015-12-04
Patch_inpainting\.git\logs\refs, 0 , 2015-12-04
Patch_inpainting\.git\objects\01, 0 , 2015-12-04
Patch_inpainting\.git\objects\01\7977a6fc7a055d3e419996646fdf3092abe354, 192 , 2015-12-04
Patch_inpainting\.git\objects\e6, 0 , 2015-12-04
Patch_inpainting\.git\objects\e6\791ff2f3dad3351258074b7b67c2af66fa3a0b, 254 , 2015-12-04
Patch_inpainting\.git\objects\2b, 0 , 2015-12-04
Patch_inpainting\.git\objects\2b\8b66fe53a9f4ca6e7b864094ad548517f418b8, 301 , 2015-12-04
Patch_inpainting\.git\objects\96, 0 , 2015-12-04
Patch_inpainting\.git\objects\96\e495198ca7f09b2e23ea961d5e6a092ca2db30, 182 , 2015-12-04
Patch_inpainting\.git\objects\62, 0 , 2015-12-04
Patch_inpainting\.git\objects\62\77635f1459e30cdb19922809cc1d9b680606ce, 254 , 2015-12-04
Patch_inpainting\.git\objects\59, 0 , 2015-12-04
Patch_inpainting\.git\objects\59\ef68aabd033341028ccd2b1f6c5871c02b9d7b, 473994 , 2015-12-04
Patch_inpainting\.git\objects\bf, 0 , 2015-12-04
Patch_inpainting\.git\objects\bf\785f5b0b5e102190aaeb9ffa38751547a82300, 288 , 2015-12-04
Patch_inpainting\.git\objects\e0, 0 , 2015-12-04
Patch_inpainting\.git\objects\e0\4ea68bedd078dd7773a1510bb08e83cb0a3198, 709 , 2015-12-04
Patch_inpainting\.git\objects\ce, 0 , 2015-12-04
Patch_inpainting\.git\objects\ce\6a9a74fe6d2548aa01b15e8d7857e360cbc24d, 629 , 2015-12-04
Patch_inpainting\.git\objects\b6, 0 , 2015-12-04
Patch_inpainting\.git\objects\b6\b49d0d589835e1fe6a31fac250310372202697, 462 , 2015-12-04
Patch_inpainting\.git\objects\7c, 0 , 2015-12-04
Patch_inpainting\.git\objects\7c\e3545d3edd42b2d42e704490a19103782a8a50, 973 , 2015-12-04
Patch_inpainting\.git\objects\info, 0 , 2015-12-04
Patch_inpainting\.git\objects\pack, 0 , 2015-12-04
Patch_inpainting\.git\refs\tags, 0 , 2015-12-04
Patch_inpainting\.git\refs\heads, 0 , 2015-12-04
Patch_inpainting\.git\refs\heads\master, 41 , 2015-12-04
Patch_inpainting\.git\logs\refs\heads, 0 , 2015-12-04
Patch_inpainting\.git\logs\refs\heads\master, 441 , 2015-12-04

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发表评论

0 个回复

  • tuxiangbianhuan
    图像变换 将图象分块(8*8)，作DCT变换，并作IDCT：DCT是一种可分离图象变换，用来图象压缩编码，IDCT用来解压缩(Image transform to image sub-block (8* 8), for the DCT transform, and IDCT: DCT is a separable transform image to image compression coding, IDCT used to extract)
    2009-03-22 14:49:22下载
    积分：1
  • LOT
    对一维信号，用正交重叠变换做DCT和逆DCT(Of one-dimensional signals, using orthogonal lapped transform DCT and inverse DCT to do)
    2008-12-29 21:35:03下载
    积分：1
  • Unet
    说明：  UNet最早发表在2015的MICCAI上，短短3年，引用量目前已经达到了4070，足以见得其影响力。而后成为大多做医疗影像语义分割任务的baseline，也启发了大量研究者去思考U型语义分割网络。而如今在自然影像理解方面，也有越来越多的语义分割和目标检测SOTA模型开始关注和使用U型结构，比如语义分割Discriminative Feature Network(DFN)(CVPR2018)，目标检测Feature Pyramid Networks for Object Detection(FPN)(CVPR 2017)等。(Its influence has reached 70% in 2015. Then it became the baseline that most of the medical image semantic segmentation tasks, and inspired a large number of researchers to think about the U-shaped semantic segmentation network. In the aspect of natural image understanding, more and more SOTA models of semantic segmentation and object detection begin to pay attention to and use U-shaped structure, such as semantic segmentation, discriminative feature network (DFN) (cvpr2018), feature pyramid networks for object detection (FPN) (CVPR 2017), etc.)
    2020-12-07 13:11:13下载
    积分：1
  • edge
    边缘检测的绝好套餐，可以拿来做博士 论文了(Edge Detection of excellent packages, can be used to do a doctoral dissertation)
    2008-04-13 14:50:04下载
    积分：1
  • fault
    transeint behavior in induction generator during grid fault
    2009-03-03 02:32:22下载
    积分：1
  • AForge.NET_EN
    说明：  AForgeNet 是基于.net框架使用C#高级面向对象语言设计开发的专门为开发者和研究者学习和使用的开源图像处理类库，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习(AForgeNet is an open source image processing class library designed and developed for developers and researchers based on. net framework using C # advanced object-oriented language. It includes computer vision and artificial intelligence, image processing, neural network, genetic algorithm and machine learning.)
    2019-06-25 16:52:51下载
    积分：1
  • 76867545
    图像拾取演示，精选ios编程学习源码，很好的参考资料。(Image pickup demonstration, selection of learning IOS programming source code, a good reference.)
    2013-12-15 09:35:28下载
    积分：1
  • ciede2000
    说明：  计算色差（专门讨论了色相角差以及平均色相角的处理，并给出了matlab程序）(Calculated chromatic aberration)
    2021-01-03 16:08:56下载
    积分：1
  • 11_人脸检测与识别系统
    1.本程序主要处理BMP位图。 2.为了方便读者学习，程序各步骤都被拆分开实现了，通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别，需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作，然后再打开需要比较的第二幅位图，也是依次进行所有操作，最后进行识别以区分先后两个人脸。(This procedure deals mainly with BMP Bitmaps. 2. In order for the reader to learn, each step of the program is split and the results of each step can be seen by clicking the appropriate button. 3. In the case of face recognition, it is necessary to open a bitmap for "face detection and location" and "face feature tagging" in turn, then open the second bitmap to be compared, and then perform all the operations in turn, and finally identify to distinguish two faces in succession.)
    2018-02-24 09:12:44下载
    积分：1
  • YanZhengMa
    本人图像处理的期末课程作业，使用模式识别自动识别验证码。老师都给好评哦(I end image processing course work, the use of pattern recognition automatic identification code)
    2013-06-22 10:12:00下载
    积分：1
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