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: object removal在图像处理中的意思是用户可以随意擦去图像中的一个物体，算法可以自动的用背景中的信息补去空洞，达到看不出来是处理过的效果，又叫inpainting，该程序由matlab写成，效果非常好，文档、演示、测试图像均齐全-object removal in image processing means that users can remove images of an object, the algorithm can automatically use the background information to fill empty, reaching out is not to look over the effectiveness of treatment, also known as inpainting, the program by matlab languages, has very good results, documents, presentations, test images have complete Platform: |
Size: 1769472 |
Author:辜嘉 |
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Description: 一种快速的基于传输方程的图像修复算法。参考文献：FAST IMAGE INPAINTING BASED ON COHERENCE TRANSPORt-A fast transfer equation-based image restoration algorithm. References: FAST IMAGE INPAINTING BASED ON COHERENCE TRANSPORt Platform: |
Size: 22645760 |
Author:舒小雨 |
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Description: 实现图像的修复，适用于需要修复面积较大的图像。本算法是采用region filling and object removal by exemplar-based image inpainting ,适用CIE lab颜色空间进行计算，发表于IEEE 2004-A new algorithm is proposed for removing large objects from digital images.the challenge is to fill in the hole that is left behind in a visually plausible way Platform: |
Size: 6144 |
Author:lizheng |
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Description: 全变差图像处理方法，利用全变差做图像去噪、去卷积和修复-The tvreg package is a collection of MATLAB functions for total variation (TV) based image denoising, deconvolution, and inpainting, and an implementation of Chan-Vese segmentation Platform: |
Size: 422912 |
Author:陈杰 |
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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: object removal在图像处理中的意思是用户可以随意擦去图像中的一个物体，算法可以自动的用背景中的信息补去空洞，达到看不出来是处理过的效果，又叫inpainting，该程序由matlab写成，效果非常好，文档、演示、测试图像均齐全--object removal in image processing means that users can remove images of an object, the algorithm can automatically use the background information to fill empty, reaching out is not to look over the effectiveness of treatment, also known as inpainting, the program by matlab languages, has very good results, documents, presentations, test images have complete
Platform: |
Size: 1795072 |
Author:chenlu |
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Description: Image inpainting algorithm combining both attempts: texture synthesis and image inpainting. Works especially well for texture and structure propagation, and filling-in large regions. Platform: |
Size: 994304 |
Author:elwismw |
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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: 这个文件描述了我们用来获取结果的MATLAB文件，
以及如何再现它们的说明。文件列表包括：buildDictionary.m dictionary.mat get_degrees inPainting.m
OMP.m overDCTdict.m overlap_col2im.m overlap_im2col.m peel_mask.m SMP.m(This file describes matlab files that we used to obtain our results,
together with instructions for how can they be reproduced.) Platform: |
Size: 4817920 |
Author:markyT |
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Search - matlab inpainting