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NEURAL NETWORK FOR ENHANCING ORIGINAL IMAGE, AND COMPUTER-IMPLEMENTED METHOD FOR ENHANCING ORIGINAL IMAGE USING NEURAL NETWORK

机译:用于增强原始图像的神经网络,以及使用神经网络增强原始图像的计算机实现的方法

摘要

A neural network is provided. The neural network includes 2n number of sampling units sequentially connected; and a plurality of processing units. A respective one of the plurality of processing units is between two adjacent sampling units of the 2n number of sampling units. A first sampling unit to an n-th sample unit of the 2n number of sampling units are DeMux units. A respective one of the DeMux units is configured to rearrange pixels in a respective input image to the respective one of the DeMux units following a first scrambling rule to obtain a respective rearranged image. An (n+1)-th sample unit to a (2n)-th sample unit of the 2n number of sampling units are Mux units. A respective one of the Mux units is configured to combine respective m′ number of input images to the respective one of the Mux units to obtain a respective combined image.
机译:提供了一个神经网络。神经网络包括依次连接的2N数量的采样单位;和多个处理单元。多个处理单元中的相应之一位于2N个采样单元的两个相邻采样单元之间。第一采样单元到2N数量采样单元的第n个样本单元是DEMU​​X单元。在第一加扰规则之后,将各个解码单元配置为将相应的输入图像中的相应输入图像中的像素重新排列到调节单元中的相应一个,以获得相应的重排图像。 2N个采样单元的(2N)-Th样本单元的(n + 1)-th样本单元是MUX单元。相应的一个Mux单元被配置为将相应的M个输入图像与相应的一个Mux单元组合以获得相应的组合图像。

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