文件列表:

inpainting\bestexemplarhelper.c (2177, 2004-11-29)
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\index.html (10667, 2004-11-29)
inpainting\inpaint.m (5927, 2004-11-29)
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 (408064, 2004-11-29)
inpainting\slidesmall.png (394123, 2004-11-29)
inpainting (0, 2010-03-22)

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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