Description: implementation of "Region Filling and Object Removal by Exemplar-Based Image Inpainting" and "Gradient based image completion by solving the Poisson equation" Platform: |
Size: 2332629 |
Author:gweizon@hotmail.com |
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Description: 基于样例的图像修补方法，可以用于移除较大的目标，修复较大的区域。VC++环境，Qiushuang Zhang设计，参见A.Criminisi等人的论文：Object Removal by Exemplar-Based Inpainting.-Based on the sample image repair method can be used to remove larger goal, to repair the larger region. VC++ Environment, Qiushuang Zhang design, see A. Criminisi papers and others: Object Removal by Exemplar-Based Inpainting. Platform: |
Size: 2491392 |
Author:PanHao |
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Description: 实现图像的修复，适用于需要修复面积较大的图像。本算法是采用region filling and object removal by exemplar-based image inpainting ,适用CIE lab颜色空间进行计算，发表于IEEE 2004-A new algorithm is proposed for removing large objects from digital images.the challenge is to fill in the hole that is left behind in a visually plausible way Platform: |
Size: 6144 |
Author:lizheng |
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Description: image inpainting
-CS7495 Final Project
Sooraj Bhat
Object Removal by Exemplar-based Inpainting
USING THE CODE
Everything was done in Matlab and MEX (i.e. a C function callable from
Matlab). First, the C code needs to be compiled. At the Matlab
prompt, type:
mex bestexemplarhelper.c
You should then be able to run the following (which takes ~2mins on my
2GHz Pentium 4 laptop with 256MB of RAM):
[i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0])
A smaller run (~25 seconds) would be:
[i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0])
To visualize:
plotall
close movie(mov)
SAMPLE IMAGES & RESULTS
*0.png The original images ( bw and bungee )
*{1,2}.png The different fill region masks.
*P2.png Plots of confidence and data terms.
*P5.png Plots of original, fill region, inpainted images and
confidence and data terms.
Other images in the dir contain redundant information. I di Platform: |
Size: 1769472 |
Author:majb |
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Description: implementation of the inpainting algorithm in the papers
"Region Filling and Object Removal by Exemplar-Based Image Inpainting"
and
"Gradient based image completion by solving the Poisson equation" Platform: |
Size: 2332672 |
Author:Wu |
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Description: 、改进基于自组织神经网络的数字图像修复算法，提出了使用自组织网络基于样
本块的图像修复算法，该算法强调对线性结构的修复，从而更符合人类视觉的连通性原
理。-The a_bove method is impmvcd and an exemplar-baSed inpainting method using SOM
is proposed．This method eIlcourages linear stnlcnlres to be syIlthesized to realize tlle
collIlect pdnciple of Vision psyCholo Platform: |
Size: 15885312 |
Author:Ankiss |
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Description: 图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。-Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the
texture and structure in regions of missing image information. In order to inpaint the damaged image with both
missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is
presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet
transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by
Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the
improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and
texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently
restore the structure and texture information at the same time, and the visual eff Platform: |
Size: 245760 |
Author:Ankiss |
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Description: 参考Object Removal by Exemplar-Based Inpainting中的相关算法，实现图像修补，在搜索匹配patch部分还有些小问题-Reference Object Removal by Exemplar-Based Inpainting the correlation algorithm, image repair, matching patch in the search and there is still some small problems Platform: |
Size: 5751808 |
Author:wang guanghui |
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Description: Source code for paper Region Filling and Object Removal by Exemplar Based Image Inpainting -Source code for paper Region Filling and Object Removal by Exemplar Based Image Inpainting Platform: |
Size: 747520 |
Author:mm |
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Search - inpainting exemplar