登录
首页 » matlab » 基于深度图像的图像修复算法

基于深度图像的图像修复算法

于 2020-11-06 发布 文件大小:33749KB
0 113
下载积分: 1 下载次数: 63

代码说明:

  基于深度图像的图像修复算法,首先得到待修复图像的深度图像,然后利用图像的深度图对破损区域进行修复。(Based on the image restoration algorithm of depth image, the depth image of the image to be repaired is obtained, and then the damaged region is repaired by using the depth map of the image.)

文件列表:

基于深度图的图像修复
....................\depth-aided inpainting for disocclusion restoration of multi-view images using depth-image-based rendering.pdf,555232,2016-11-08
....................\基于深度信息的图像修复算法.pdf,910010,2016-11-01
....................\深度图像修补
....................\............\color.bmp




....................\............\depth.bmp,2359350,2011-10-21
....................\............\depth2.bmp,10128,2016-11-01
....................\............\depth3.bmp,38030,2016-11-01
....................\............\depth4.bmp,60457,2016-11-01
....................\............\impainting.m,1934,2016-11-01
....................\............\result.bmp,2359350,2016-11-01
....................\............\result2.bmp,289242,2016-11-01
....................\............\result3.bmp,1021698,2016-11-01
....................\............\result4.bmp,984114,2016-11-01
....................\深度图获取
....................\..........\ASW
....................\..........\...\boxfilter.m,950,2014-11-12
....................\..........\...\coldiff.m,315,2015-03-28
....................\..........\...\coldiff1.m,936,2016-03-11
....................\..........\...\Cp.m,553,2015-04-02
....................\..........\...\downcostagg.m,1031,2015-09-03

....................\..........\...\leftcostagg.m,1009,2015-09-03
....................\..........\...\logRGB.m,266,2015-03-31
....................\..........\...\midcostagg.m,404,2016-03-16
....................\..........\...\rightcostagg.m,1058,2015-09-03
....................\..........\...\runstereo.m,1478,2016-03-17
....................\..........\...\sdiff.m,238,2015-03-28
....................\..........\...\sdiff1.m,404,2016-03-11
....................\..........\...\Untitled.m,1174,2016-03-17
....................\..........\...\Untitled1.m,1625,2015-04-16
....................\..........\...\upcostagg.m,968,2015-09-03
....................\..........\guided filter
....................\..........\.............\AdaptiveManifoldFilter-Source-v1.0
....................\..........\.............\..................................\adaptive_manifold_filter.m,9028,2014-11-12
....................\..........\.............\..................................\boxfilter.m,950,2014-11-12
....................\..........\.............\..................................\compute_manifold_tree_height.m,1372,2014-11-12
....................\..........\.............\..................................\compute_non_local_means_basis.m,1977,2014-11-12
....................\..........\.............\..................................\example_color_detail_enhancement.m,1763,2014-11-12
....................\..........\.............\..................................\example_edge_aware_filtering.m,1581,2014-11-12
....................\..........\.............\..................................\example_extra_information_denoising.m,2553,2014-11-12
....................\..........\.............\..................................\example_non_local_means_denoising.m,2183,2014-11-12
....................\..........\.............\..................................\example_referenceForCVPR11.m,6001,2014-11-22
....................\..........\.............\..................................\example_Table_1.m,1329,2014-11-12
....................\..........\.............\..................................\fillPixelsReference.m,1153,2014-11-12
....................\..........\.............\..................................\filtermask.m,1140,2014-11-12
....................\..........\.............\..................................\guidedfilter_color.m,2704,2014-11-12
....................\..........\.............\..................................\hs_err_pid3508.log,20497,2014-11-12
....................\..........\.............\..................................\h_filter.m,1843,2014-11-12
....................\..........\.............\..................................\image
....................\..........\.............\..................................\.....\af










....................\..........\.............\..................................\.....\view1.png,342036,2003-06-08
....................\..........\.............\..................................\.....\view5.png,343316,2003-06-08
....................\..........\.............\..................................\.....\单纯导向





....................\..........\.............\..................................\images





....................\..........\.............\..................................\......\cones4.jpg,57152,2014-11-12
....................\..........\.............\..................................\......\cones5.jpg,56887,2014-11-12
....................\..........\.............\..................................\......\cones6.jpg,55757,2014-11-12
....................\..........\.............\..................................\......\eyes_closeup_smaller.png,340288,2014-11-12
....................\..........\.............\..................................\......\kodim23.png,562293,2014-11-12
....................\..........\.............\..................................\keep.m,1871,2014-11-12
....................\..........\.............\..................................\README.txt,3462,2014-11-12
....................\..........\.............\..................................\RF_filter.m,2999,2014-11-12
....................\..........\.............\..................................\runStereoMatcher.m,1929,2014-11-22
....................\..........\.............\..................................\weightedMedianMatlab.m,949,2014-11-12
....................\..........\.............\article_lr.pdf,601480,2014-11-15
....................\..........\.............\boxfilter.m,950,2014-11-12
....................\..........\.............\census.m,329,2015-06-02
....................\..........\.............\example_referenceForCVPR11.m,4427,2015-09-06
....................\..........\.............\fillPixelsReference.m,1145,2011-03-30
....................\..........\.............\filtercode.zip,4191873,2014-11-17
....................\..........\.............\filtermask.m,798,2011-03-29
....................\..........\.............\funcptK.m,639,2015-06-02
....................\..........\.............\funcptseg.m,939,2014-12-10
....................\..........\.............\gradTmpl.pgm,327538,2016-11-01
....................\..........\.............\gradTmpr.pgm,327538,2016-11-01

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

  • contourlet_Decomposition_AND_Recomposition
    contourlet对LENA512灰度图的LP,DEF分解与系数重构代码,经过调试.(Contourlet LENA512 grayscale of the LP, DEF coefficient decomposition and reconstruction of the code after debugging.)
    2008-08-20 16:31:50下载
    积分:1
  • dingbiao
    摄像机定标。用matlab程序编写的将世界坐标系下的坐标转到图像坐标系的m文件(Camera calibration. M file matlab program the coordinates in the world coordinate system to image coordinate system)
    2012-11-27 10:17:31下载
    积分:1
  • DFT&DCT
    编程实现二维8*8图像块的DFT,DCT变换 输入一副RGB图像,将其转化为YCbCr颜色空间,然后对Y分量做分块DFT变换,保存为灰度图像,统计计算时间 编程实现8*8块DCT变换,然后分别显示,当使用64个DCT系数里面的一些系数进行重构,比较其质量;同时熟悉采用FFT来实现DCT变换的思想,并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)
    2021-01-18 11:58:43下载
    积分:1
  • pic
    图像处理中最常用的各种国际标准测试图像,包括Lena、Barbara、Cameraman、Peppers等图片的多种格式。(The most commonly used in image processing in various international standard test images, including Lena, Barbara, Cameraman, Peppers, and other images in multiple formats.)
    2012-06-11 16:41:08下载
    积分:1
  • retinex
    说明:  基于retinex理论的图象增强处理,一种新型的算法,效果挺好(Image enhancement based on Retinex theory, a new algorithm, has a good effect)
    2020-10-15 11:26:04下载
    积分:1
  • dip
    一个全面的图像处理平台,基本上具有教课书上所说的所有图像处理算法,并附带一些关键算法!()
    2007-09-25 06:58:20下载
    积分:1
  • face
    数字图象处理,模式识别,人脸识别,包括了程序和一个人脸库,是相当好的学习东西(Digital image processing, pattern recognition, face recognition, including the procedures and a face database is very good to learn things)
    2008-03-26 11:30:59下载
    积分:1
  • DWTcode
    matlab程序,我的论文程序‘一种基于图像内容的自恢复水印算法’(matlab program, my thesis procedure )
    2008-05-16 17:42:01下载
    积分:1
  • 遥感配准系统
    说明:  本程序主要对遥感图像实现三种处理:几何校正、图像增强和图像配准。这三种处理都可以独立实现,然而对于原始的遥感图像将这三种处理依次进行效果更佳。(This program mainly deals with three kinds of remote sensing image processing: geometric correction, image enhancement and image registration. These three kinds of processing can be realized independently, but for the original remote sensing image, the effect of these three kinds of processing in turn is better.)
    2020-05-22 15:00:32下载
    积分:1
  • cc
    说明:  经典图论,其中叙述了图论的经典算法等,如最大流、最小割等相关算法。(Classical graph theory, graph theory, which describes the classical algorithms, such as maximum flow, minimum cut, and other related algorithms.)
    2011-05-11 17:52:55下载
    积分:1
  • 696522资源总数
  • 104049会员总数
  • 30今日下载