English(EN) A Tensor Variational Formulation of Gradient Energy Total Variation

新的张量变分方法增强图像去噪效果

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员提出了一种新的基于张量的全变分变分方法，称为梯度能量全变分（GETV）。该方法包含一个梯度能量张量，形成了一种基于张量的全变分类型偏微分方程。研究表明，GETV是一个凸泛函，并通过实验结果证明，它在灰度图像和彩色图像的去噪效果上优于现有的扩展各向异性扩散和标准全变分等方法。 AI

排序理由该集群包含一篇关于图像处理新表述的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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本文如何被排名

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arXiv cs.CV TIER_1 English(EN) · Freddie {\AA}str\"om, George Baravdish, Michael Felsberg · 2026-09-01 04:00

梯度能量全变分的张量变分表述

arXiv:2608.29172v1 Announce Type: new Abstract: We present a novel variational approach to a tensor-based total variation formulation which is called gradient energy total variation, GETV. We introduce the gradient energy tensor [6] into the GETV and show that the corresponding E…