中文说明:
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。
English Description:
Firstly, the depth image of the image to be repaired is obtained, and then the damaged area is repaired by using the depth image of the image.
Image inpainting algorithm based on depth image
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中文说明:
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。
English Description:
Firstly, the depth image of the image to be repaired is obtained, and then the damaged area is repaired by using the depth image of the image.
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
....................\基于深度信息的图像修复算法.pdf
....................\深度图像修补
....................\............\color.bmp
....................\............\depth.bmp
....................\............\depth2.bmp
....................\............\depth3.bmp
....................\............\depth4.bmp
....................\............\impainting.m
....................\............\result.bmp
....................\............\result2.bmp
....................\............\result3.bmp
....................\............\result4.bmp
....................\深度图获取
....................\..........\ASW
....................\..........\...\boxfilter.m
....................\..........\...\coldiff.m
....................\..........\...\coldiff1.m
....................\..........\...\Cp.m
....................\..........\...\downcostagg.m
....................\..........\...\leftcostagg.m
....................\..........\...\logRGB.m
....................\..........\...\midcostagg.m
....................\..........\...\rightcostagg.m
....................\..........\...\runstereo.m
....................\..........\...\sdiff.m
....................\..........\...\sdiff1.m
....................\..........\...\Untitled.m
....................\..........\...\Untitled1.m
....................\..........\...\upcostagg.m
....................\..........\guided filter
....................\..........\.............\AdaptiveManifoldFilter-Source-v1.0
....................\..........\.............\..................................\adaptive_manifold_filter.m
....................\..........\.............\..................................\boxfilter.m
....................\..........\.............\..................................\compute_manifold_tree_height.m
....................\..........\.............\..................................\compute_non_local_means_basis.m
....................\..........\.............\..................................\example_color_detail_enhancement.m
....................\..........\.............\..................................\example_edge_aware_filtering.m
....................\..........\.............\..................................\example_extra_information_denoising.m
....................\..........\.............\..................................\example_non_local_means_denoising.m
....................\..........\.............\..................................\example_referenceForCVPR11.m
....................\..........\.............\..................................\example_Table_1.m
....................\..........\.............\..................................\fillPixelsReference.m
....................\..........\.............\..................................\filtermask.m
....................\..........\.............\..................................\guidedfilter_color.m
....................\..........\.............\..................................\hs_err_pid3508.log
....................\..........\.............\..................................\h_filter.m
....................\..........\.............\..................................\image
....................\..........\.............\..................................\.....\af
....................\..........\.............\..................................\.....\view1.png
....................\..........\.............\..................................\.....\view5.png
....................\..........\.............\..................................\.....\单纯导向
....................\..........\.............\..................................\images
....................\..........\.............\..................................\......\cones4.jpg
....................\..........\.............\..................................\......\cones5.jpg
....................\..........\.............\..................................\......\cones6.jpg
....................\..........\.............\..................................\......\eyes_closeup_smaller.png
....................\..........\.............\..................................\......\kodim23.png
....................\..........\.............\..................................\keep.m
....................\..........\.............\..................................\README.txt
....................\..........\.............\..................................\RF_filter.m
....................\..........\.............\..................................\runStereoMatcher.m
....................\..........\.............\..................................\weightedMedianMatlab.m
....................\..........\.............\article_lr.pdf
....................\..........\.............\boxfilter.m
....................\..........\.............\census.m
....................\..........\.............\example_referenceForCVPR11.m
....................\..........\.............\fillPixelsReference.m
....................\..........\.............\filtercode.zip
....................\..........\.............\filtermask.m
....................\..........\.............\funcptK.m
....................\..........\.............\funcptseg.m
....................\..........\.............\gradTmpl.pgm
....................\..........\.............\gradTmpr.pgm