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second order differential funvtionls in total variation-based image restoration
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全变分图像处理的两种实现，一种是去噪，一种是恢复-Total Variation of the two kinds of image processing to achieve, one is de-noising, a restoration of
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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
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CV模型是一种重要的图像分割模型,本文针对其收敛速度慢、效率低的缺点提出一种求解CV模型的新方法.首先将CV模型的能量泛函改写成与原来有相同稳定解的总变分公式形式,然后使用对偶公式法求总变分公式的极小值,再在其中引入一速度项以加快模型的收敛速度.新方法一方面克服了梯度下降法要求时间步长小、迭代次数多的缺点,经过较少次的迭代就能收敛,减少了迭代计算的次数-CV model is one of the most important image segmentation model and disad
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纹理识别，LTV，通过求梯度，进而求图像的局部总变差，对指纹图像进行纹理提取(Texture recognition, LTV, by seeking gradient, and then find the local image of the total variation, the fingerprint image texture extraction)
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基于总变差正则化模型的图像复原，有图像加噪去噪，去模糊的功能(Image restoration based on total variation regularization model has functions of image denoising, denoising and deblurring.)
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基于ADMM-Total-Variation算法的CT图像重建(CT image reconstruction based on ADMM-TV algorithm)
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广义全变分的matlab源码，主要用于图像去躁及图像复原，可直接运行，去躁效果不错(Generalized total variation matlab source code, mainly used for image de-restoring and image restoration, can run directly, the de-restoring effect is good.)
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