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English(EN) Plug-and-Play image restoration with Stochastic deNOising REgularization

新的SNORE框架通过随机正则化增强图像恢复

研究人员推出了一种新颖的即插即用图像恢复框架——随机去噪正则化(SNORE)。SNORE仅将去噪器应用于具有适当噪声水平的图像,这与先前将去噪器应用于噪声逐渐减小的图像的方法形成对比。该方法基于显式的随机正则化,并利用随机梯度下降算法来解决不适定逆问题。该框架在去模糊和修复任务中已证明其性能可与最先进的方法相媲美。 AI

排序理由 这是一篇详细介绍图像恢复新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新的SNORE框架通过随机正则化增强图像恢复

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这是一篇详细介绍图像恢复新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis ·

    具有随机去噪正则化的即插即用图像恢复

    arXiv:2402.01779v4 Announce Type: replace-cross Abstract: Plug-and-Play (PnP) algorithms are a class of iterative algorithms that address image inverse problems by combining a physical model and a deep neural network for regularization. Even if they produce impressive image resto…