Description: 该程序采用总变差方法去除图像噪声，希望大家喜欢-the procedure used to remove the deteriorating image noise, hope you like Platform: |
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Author:yy |
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Description: 全变差去噪的标准matlab代码实现[ROF92],与Guy Gilboa的Texture preserving TV denoising [GSZ03] -total variation denoising standard Matlab code to achieve [ROF92] Guy Gilboa and the Texture preserving TV denoising [ GSZ03] Platform: |
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Author:zhuboy |
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Description: This toolbox contains functions related to image processing, including
* images loading and generation.
* filtering and blurring functions.
* anisotropic and spacially variant filters.
* non-linear filtering (median, LIC, bilateral).
* High Dynamic Range image loading and equalization.
* total variation image processing (denoising and decomposition).
* non-wavelets image transforms such as local DCT Platform: |
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Author:fangfei_666 |
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Description: The Rudin-Osher-Fatemi total variation (TV) denoising technique poses the problem of denoising as a minimization problem Platform: |
Size: 1024 |
Author:fangfei_666 |
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Description: 一套使用全变分方法进行图像去噪处理的图像源代码(MATLAB),算法结果性能优良,适用范围广泛.-Use a variational method for image denoising images deal with the source code (MATLAB), the results of algorithm performance, the broad scope of application. Platform: |
Size: 76800 |
Author:dhxu757 |
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Description: 本程序实现全变分(Total Variation, TV)的去噪算法，它使用了PDF纠正TV算法中的小问题。该算法可以很好地保留原图边缘信息的同时，去除噪声。-This procedure to achieve full-variational (Total Variation, TV) denoising algorithm, which uses a PDF corrective TV algorithm of small problems. The algorithm is well positioned to retain the image edge information at the same time, to remove noise. Platform: |
Size: 1024 |
Author:Joe Black |
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Description: This toolbox contains functions related to image processing, including
* images loading and generation.
* filtering and blurring functions.
* anisotropic and spacially variant filters.
* non-linear filtering (median, LIC, bilateral).
* High Dynamic Range image loading and equalization.
* total variation image processing (denoising and decomposition).
* non-wavelets image transforms such as local DCT.
* Various helpers functions Platform: |
Size: 3398656 |
Author:徐亮 |
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Description: 图像双边去噪的matlab代码，是当今主流的效果好而且速度快的去噪方法-Image bilateral denoising matlab code, is the mainstream of today s effective and fast de-noising method Platform: |
Size: 1024 |
Author:王悦 |
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Description: 当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio Platform: |
Size: 432128 |
Author:sun |
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Description: 本程序实现全变分(Total Variation, TV)的去噪算法，它使用了PDF纠正TV算法中的小问题。该算法可以很好地保留原图边缘信息的同时，去除噪声。
-This procedure for full-variational (Total Variation, TV) denoising algorithm, which uses the PDF to correct TV algorithm small problem. This algorithm is well preserved, while Original edge information to remove noise. Platform: |
Size: 3072 |
Author:刘凯 |
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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: |
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Author:陈杰 |
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Description: this sourcecode about total variation
very useful tools
very useful tools1-this is sourcecode about total variation
very useful tools
very useful tools1 Platform: |
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Author:dfsdf |
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Description: a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. Ralated paper:J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms, 53 (2010), pp. 67-92. -a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring.Ralated paper:J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms, 53 (2010), pp. 67-92. Platform: |
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Author:文字 |
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Description: 全变差图像处理Matlab程序，for the paper: "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms"-Software for Total Variation Image Reconstruction (for Matlab Version 7.5 or later)
"mxTV" is a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Informatics. The collaborators are DTU Informatics, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS.
The underlying algorithms are based on recently published first-order methods developed by Nesterov, tailored specifically to the image restoration problems. These methods have O(1/ε) complexity, where ε is the accuracy of the solution. The core computational routines are written in C, with a mex interface to Matlab. The algorithms and the software are described in the paper:
J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Alg Platform: |
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Author:l |
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Search - total variation matlab