首页> 外文期刊>Network Daily News >Research from School of Information Science and Technology Yields New Data on Discrete and Continuous Dynamical Systems (Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks)
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Research from School of Information Science and Technology Yields New Data on Discrete and Continuous Dynamical Systems (Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks)

机译:从信息科学和研究离散和技术产生新的数据连续动力系统(古老的石头铭文图像去噪和修补方法基于深层神经网络)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators discuss new findings in discrete and continuous dynamical systems. According to news reporting originating from the School of Information Science and Technology by NewsRx correspondents, research stated, “Chinese ancient stone inscriptions contain Chinese traditional calligraphy culture and art information. However, due to the long history of the ancient stone inscriptions, natural erosion, and poor early protection measures, there are a lot of noise in the existing ancient stone inscriptions, which has adverse effects on reading these stone inscriptions and their aesthetic appreciation.”
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离散和连续动力系统。据新闻报道来自信息科学与技术学院的NewsRx记者,研究表示,“中国在古代石刻遏制中国传统书法文化和艺术信息。在古代的石刻,自然侵蚀,可怜的早期保护措施,都有一个很大的噪音在现存的古老的石头铭文的不利影响阅读这些石刻和他们审美。”

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