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AI DOWN-SCALING APPARATUS AND OPERATING METHOD THEREFOR, AND AI UP-SCALING APPARATUS AND OPERATING METHOD THEREFOR

机译:AI下缩放设备和操作方法,以及AI上缩放设备和操作方法

摘要

Disclosed is an AI up-scaling apparatus for up-scaling a low-resolution image into a high-resolution image, comprising a memory for storing one or more instructions, and a processor for executing the one or more instructions stored in the memory, wherein the processor uses a first deep neural network (DNN) so as to acquire a second image corresponding to a first image into which an AI down-scaling apparatus has down-scaled from an original image, and uses a second DNN corresponding to the first DNN so as to up-scale the second image, thereby acquiring a third image, and the second DNN is trained to minimize differences between a first reconstructed image of an original training image, having been acquired by down-scaling and up-scaling an image obtained by not applying a pixel shift to the original training image, and second reconstructed images of one or more translation images, having been acquired by down-scaling, up-scaling, and then re-translating the one or more translation images obtained by applying a pixel shift to the original training image.
机译:公开了一种用于将低分辨率图像上缩放到高分辨率图像的AI上缩放设备,包括用于存储一个或多个指令的存储器,以及用于执行存储在存储器中的一个或多个指令的处理器,其中处理器使用第一深神经网络(DNN),以便获取对应于第一图像的第二图像,其中AI下缩放设备从原始图像下缩小到该第一图像,并使用对应于第一DNN的第二DNN因此,向上缩放第二图像,从而获取第三图像,并且训练第二DNN以最小化由获得的图像获得的原始训练图像的第一重建图像之间的差异。通过不将像素移位应用于原始训练图像,并且通过下缩放,上缩放的一个或多个翻译图像的第二重建图像,然后重新翻译一个或多个翻译图像通过将像素移位应用于原始训练图像而获得的S.

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