Description: 采用M.Bertalmio and G.Sapiro论文中算法的图像修复C++代码。需要提供原始破损图像和破损区域的掩模图像，修复结果实时显示。-used Bertalmio and G. M. Sapiro papers algorithm for image restoration generation C yards. The need for the original image and damaged the damaged region mask images, results, real-time repair. Platform: |
Size: 1282048 |
Author:屈磊 |
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Description: 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 Platform: |
Size: 1769472 |
Author:majb |
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Description: 提供了经典的图像修补算法的源代码，对于初学者有很大的帮助，重点推荐。-Provides a classical image inpainting algorithm source code is very helpful for beginners, focusing on recommendations. Platform: |
Size: 1956864 |
Author:chenlu |
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Description: MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran.
You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas.
MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.-MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran.
You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas.
MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications. Platform: |
Size: 3072 |
Author:maruni |
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Description: 一种基于TV 整体变分算法的图像修复的的MATLAB代码-INPAINTING
-MATLAB code based on the TV and Total Variation algorithm for image repair-INPAINTING Platform: |
Size: 12288 |
Author:baress |
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Description: For using this code need to use signal toolbox and general toolbox in your matlab
Inpainting using sparse regularization. Consider the pepper image with many missing
pixels.
Assume that the image is noisy-free.
(a) Inpaint the image by using orthogonal wavelet sparsity.
(b) Inpaint the image by using a different sparsity prior.
Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than
other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity). -For using this code need to use signal toolbox and general toolbox in your matlab
Inpainting using sparse regularization. Consider the pepper image with many missing
pixels.
Assume that the image is noisy-free.
(a) Inpaint the image by using orthogonal wavelet sparsity.
(b) Inpaint the image by using a different sparsity prior.
Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than
other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity). Platform: |
Size: 20480 |
Author:jams1166 |
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Description: i want matlab code for image inpainting using wavelets.please help me to find that code sir.thanking you sir-i want matlab code for image inpainting using wavelets.please help me to find that code sir.thanking you sir.. Platform: |
Size: 5590016 |
Author:kumar |
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Search - inpainting matlab code