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首页> 外文期刊>Network Daily News >Data from Yuan Ze University Provide New Insights into Neural Networks and Learning Systems (Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-exposure Image Fusion)
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Data from Yuan Ze University Provide New Insights into Neural Networks and Learning Systems (Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-exposure Image Fusion)

机译:元智大学的数据提供新的见解神经网络和学习系统(自动生成中间深对健壮的Two-exposure强化学习图像融合)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators discuss new findings in Networks - Neural Networks and Learning Systems. According to news reporting from Taoyuan, Taiwan, by NewsRx journalists, research stated, “Fusing low dynamic range (LDR) for high dynamic range (HDR) images has gained a lot of attention, especially to achieve real-world application significance when the hardware resources are limited to capture images with different exposure times. However, existing HDR image generation by picking the best parts from each LDR image often yields unsatisfactory results due to either the lack of input images or well-exposed contents.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员讨论新发现在网络-神经网络和学习系统。桃园,台湾NewsRx记者、研究说:“融合低动态范围(异地恋)高动态范围(HDR)获得了很多图片注意,特别是实现现实世界当硬件应用意义资源是有限的捕捉图像不同的曝光时间。从图像生成通过选择最好的部分每一个异地恋形象往往会产生不满意结果由于缺乏输入图像或良好的曝光内容。”

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