文件列表:

20.png (162139, 2015-03-26)
201.png (136031, 2015-03-26)
benggee_7.jpg (37938, 2015-03-29)
bestexemplarhelper.asv (2382, 2015-04-06)
bestexemplarhelper.c (2503, 2015-04-30)
bestexemplarhelper.mexmaci64 (8536, 2013-03-12)
bestexemplarhelper.mexw32 (6656, 2015-03-26)
Evaluate.m (293, 2015-04-30)
inpaint7.asv (8928, 2015-05-03)
inpaint7.m (8928, 2015-05-03)
plotall.m (486, 2015-04-11)

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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