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implement siggraph paper Object Removal by Exemplar-Based Inpainting 图像修复
Update : 2008-10-13 Size : 398byte Publisher :

implementation of "Region Filling and Object Removal by Exemplar-Based Image Inpainting" and "Gradient based image completion by solving the Poisson equation"
Update : 2011-03-11 Size : 2.22mb Publisher : gweizon@hotmail.com

exemplar-based image inpainting 基于样例的图像修复算法
Update : 2011-08-30 Size : 1.69mb Publisher : belief_if@sohu.com

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.
Update : 2025-04-26 Size : 2.38mb Publisher : PanHao

This paper presents a robust algorithm for exemplar-based image inpainting.
Update : 2025-04-26 Size : 669kb Publisher : qianshicanhun

DL : 0
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
Update : 2025-04-26 Size : 6kb Publisher : lizheng

Inpainting software tool having various algo implied like bertelamo,exemplar.
Update : 2025-04-26 Size : 1.95mb Publisher : khushi

Object Removal by Exemplar-Based Inpainting implementation by Matlab
Update : 2025-04-26 Size : 1.69mb Publisher : neptune

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
Update : 2025-04-26 Size : 1.69mb Publisher : majb

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"
Update : 2025-04-26 Size : 2.22mb Publisher : Wu

Exemplar based image inpainting
Update : 2025-04-26 Size : 14.14mb Publisher : Choudhary

论文《Region Filling and Object Removal by Exemplar-Based Image Inpainting》中提出的图像修复算法 1)使用了OpenCV2.2.0和VS2010,设置系统环境变量OPENCV_DIR为OpenCV的安装路径,如C:\OpenCV2.2,在path中添加环境变量C:\OpenCV2.2\bin,可以根据OpenCV提供的用户手册设置属性页文件 2)生产dll,具体的函数可以查看文件Classic_Exemplar.h 3)如有问题请联系zhenjia.dou@gmail.com-The algorithms proposed in 《Region Filling and Object Removal by Exemplar-Based Image Inpainting》
Update : 2025-04-26 Size : 12kb Publisher :

、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
Update : 2025-04-26 Size : 15.15mb Publisher : Ankiss

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
Update : 2025-04-26 Size : 240kb Publisher : Ankiss

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
Update : 2025-04-26 Size : 5.49mb Publisher : wang guanghui

non-local mean exemplar based inpainting MATLAB
Update : 2025-04-26 Size : 7.19mb Publisher : 刘程序

non-local median exemplar based inpainting
Update : 2025-04-26 Size : 7.24mb Publisher : 刘程序

DL : 0
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
Update : 2025-04-26 Size : 730kb Publisher : mm

Region Filling and Object Removal by Exemplar-Based Image Inpainting
Update : 2025-04-26 Size : 1.45mb Publisher : MEERA RAVI

实现基于样本块的图像修复,是Criminisi经典图像修复算法。(Criminisi algorithm about exemplar-based inpainting)
Update : 2025-04-26 Size : 611kb Publisher : 努力的蜗牛
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