搜索资源列表
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Denoising
Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) n
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Denoising
Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with priori known (or estimated) noi
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基于ROF全变差分模型,用于图像去噪,并利用split bregman算法进行加速运算-ROF points based on total variation model for image denoising, and using split bregman accelerated computing algorithms
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The proposed inpainting algorithm was tested on simulated and real images. The experimental results verify the efficacy of this algorithm.
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flow minimization for image denoising based on total variation
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基于经典的增广拉格朗日乘子法, 对求解一类带有特定结构(主要是针对凸规划)的非光滑等式约束优化问题, 我们提出、分析并测试了一个新算法. 在极小化增广拉格朗日函数的每一步迭代中, 该算法有效结合了带有非单调线性搜索的交替方向技术, 我们建立了算法的收敛性, 并用它来求解在带有全变差正则化的图像恢复问题.-Based on the classic augmented Lagrangian multiplier method, we propose, analyze and test an algo
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