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METHOD FOR SUPER RESOLUTION IMAGING BASED ON DEEP LEARNING

机译:基于深度学习的超分辨率成像方法

摘要

A deep learning-based super resolution imaging method performed by a computing device according to an embodiment of the present disclosure is disclosed. The method includes the steps of receiving a first image and a second image having a lower resolution compared to the first image, training the first model to generate an image of a lower resolution corresponding to the second image based on the first image; The method may include training the second model to generate a high-resolution image corresponding to the first image based on the output image of the first model. In this case, the contents of the first image and the contents of the second image may not correspond to each other.
机译:公开了由根据本公开的实施例的计算设备执行的基于深度学习的超分辨率成像方法。 该方法包括接收与第一图像相比,接收具有较低分辨率的第一图像的步骤和具有较低分辨率的第二图像,训练第一模型以基于第一图像产生与第二图像对应的较低分辨率的图像; 该方法可以包括训练第二模型以基于第一模型的输出图像生成与第一图像对应的高分辨率图像。 在这种情况下,第一图像的内容和第二图像的内容可能彼此不对应。

著录项

  • 公开/公告号KR102337412B1

    专利类型

  • 公开/公告日2021-12-09

    原文格式PDF

  • 申请/专利权人 주식회사 에스아이에이;

    申请/专利号KR20210034415

  • 发明设计人 윤광진;

    申请日2021-03-17

  • 分类号G06T3/40;G06N3/04;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-24 22:44:38

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