基于图像纹理的图像补全方法，基于纹理的图像遮挡部位修复方法（代码完整，数据齐全）

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).