inpainting
所属分类：图形图像处理
开发工具：C/C++
文件大小：1742KB
下载次数：308
上传日期：2009-05-12 09:49:33
上 传 者：
mars_0705
说明： 基于C实现的采样复制的纹理图像修复方法。可去除遮罩物
(C based on the realization of the sample copy of the texture image restoration method. Mask material can be removed)
文件列表:
inpainting\bestexemplarhelper.c (2181, 2009-04-02)
inpainting\bestexemplarhelper.dsp (3543, 2009-03-30)
inpainting\bestexemplarhelper.dsw (561, 2009-04-02)
inpainting\bestexemplarhelper.ncb (33792, 2009-04-02)
inpainting\bestexemplarhelper.opt (48640, 2009-04-02)
inpainting\bestexemplarhelper.plg (2925, 2009-04-02)
inpainting\bungee0.png (146083, 2004-11-28)
inpainting\bungee1.png (122960, 2004-11-29)
inpainting\bungeeA.png (111352, 2004-11-29)
inpainting\bungeeP2.png (33537, 2004-11-29)
inpainting\bungeeP5.png (233955, 2004-11-29)
inpainting\bw0.png (1327, 2004-11-29)
inpainting\bw1.png (1819, 2004-11-29)
inpainting\bw2.png (1609, 2004-11-29)
inpainting\bwA.png (1327, 2004-11-29)
inpainting\bwP2.png (11889, 2004-11-29)
inpainting\bwP5.png (14368, 2004-11-29)
inpainting\Debug\bestexemplarhelper.pch (165408, 2009-04-02)
inpainting\Debug\vc60.idb (33792, 2009-04-02)
inpainting\Debug\vc60.pdb (36864, 2009-04-02)
inpainting\index.html (10667, 2004-11-29)
inpainting\inpaint.asv (6013, 2009-04-01)
inpainting\inpaint.m (6078, 2009-04-02)
inpainting\isophote.png (34114, 2004-11-29)
inpainting\plotall.m (580, 2004-11-29)
inpainting\slide.html (592, 2004-11-29)
inpainting\slide.png (308239, 2004-11-29)
inpainting\slide.ppt (411136, 2004-11-29)
inpainting\slidesmall.png (394123, 2004-11-29)
inpainting\Debug (0, 2009-04-02)
inpainting (0, 2009-04-02)
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 didn't
include the movies since they are big, but they are available on my
project page (AVI format).
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