Description: 基于纹理的形状恢复和纹理的应用,利用离散小波框架模极值共生距阵的分类算法，能够很好的修得复大块缺损的图像-Based on the shape and texture, using the texture application framework of discrete wavelet modulus maximum symbiosis of classification algorithm is very good, can you answer large defect image Platform: |
Size: 1796096 |
Author:张开 |
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Description: 图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。-Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the
texture and structure in regions of missing image information. In order to inpaint the damaged image with both
missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is
presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet
transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by
Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the
improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and
texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently
restore the structure and texture information at the same time, and the visual eff Platform: |
Size: 245760 |
Author:Ankiss |
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Description: 非局部全变分小波域图像修复代码，实现算法WAVELET INPAINTING BY NONLOCAL TOTAL VARIATION，Xiaoqun Zhang，Tony F. Chan，Inverse Problems and Imaging，2010,4（1）-Non-local full variational wavelet domain image repair code algorithm WAVELET INPAINTING BY NONLOCAL TOTAL VARIATION Xiaoqun Zhang, Tony F. Chan, Inverse from and Imaging, 2010,4 (1) Platform: |
Size: 515072 |
Author:zhang yi |
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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: 图像修复是指恢复图像中破损区域的颜色信息或者去除图像中的多余物体。针对视频图像损坏特征中较复杂的水
平与垂直条带，利用视频图像时间连续性的特点，提出基于小波分析理论的修复方法。实验结果表明，该系统能够较好地恢复
视频图像和有效去除文字。
-Image inpainting refers to restore the color information of the damaged region in the image or remove the
unnecessary object in the image. A method is introduced to compute the main direction of the texture and complete
the image based on wavelet transform. The core of the algorithm relies on using texture detection in a coarse-to-fine
scheme. Experimental results show that the algorithm can obtain the satisfied restoration video frames.
【Key words】video frame restoration wavelet transform video processing text extraction Platform: |
Size: 5686272 |
Author:孙红娟 |
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Description: 本文提出一种基于边缘自适应小波变换的多尺度图像修复算法，对非纹理图像有比较好的修复效
果。边缘自适应小波变换的基本思想是，先检测出图像的主要边缘，这些边缘把图像分割成几个平滑区，然后
对图像进行不跨越边缘的小波分解，即在各平滑区内部进行小波变换，得到图像的多尺度表示，并且同时计算
边缘的多尺度表示。这样的小波分解使高频信息基本都集中在边缘上，而高频系数则非常稀疏，而且都接近
于零。在此基础上进行图像修复，就只需要对低频部分与边缘图像进行修复，然后重构得到修复图像即可。
经过小波分解，低频部分破损区域大大缩小，用比较简单的插值方法就可进行修复，大大降低了计算量。对边-Abstract：A fast inpainting algorithm based on edge—adaptive wavelet transform are in—
troduced in this paper．The main idea of edge-adaptive wavelet transform is to firstly de—
tect the main edges of the image and then carry Out a wavelet transform not cross those ed—
ges．It makes the high—frequency coefficients more sparse and more weak．After this kind
of wavelet transform。inpainting only need to fill in the low—frequency sub—band and con—
nect the broken edges．Because the inpainting field become more small in the Iow—frequen—
cy sub—band，it only need a simple Platform: |
Size: 512000 |
Author:孙红娟 |
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Description: 传统的图像修复算法速度慢, 对大面积的破损区域修复效果较差. 本文针对
这一缺点, 首先对待修复图像进行小波分解, 使得图像的破损区域在低频部分留下
的空洞大为缩小, 然后利用基于快速行进法( FM M) 的图像修复算法修复低频部分
的破损区域, 再利用低频信息来预测相应的高频信息, 最后进行小波重构, 并对受
损部分进行自然化处理, 得到修复的图像. 仿真实验结果表明, 本文提出的算法速
度快, 修复结果基本恢复了原有的视觉效果.-Chan T , Ng M , Yan A, et a l. Super resolutio n Image Reco nstr uct ion Using Fast Inpa inting Algo rithms [ J] . Applied
and Computatio nal Harmonic Analy sis, 2007, 23( 1) : 3～24.
[ 7] Chan T, Shen, J, Zho u Hao-M in, et a l. To tal Var iat ion Wavelet Inpainting [ J] . Jo ur nal o f Mat hema tical Imag e and
Vision, 2006, 25( 1) : 107～125.
[ 8] Alex andr ua Telea. An Im age Inpainting Technique Platform: |
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Author:孙红娟 |
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