Abstract: In the domain of data enhancement, image restoration and data augmentation are two tasks gaining increasing attention. Current image restoration models focus on improving clarity using ...

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In this paper, DCGAN is used to generate the image which does not belong to MNIST data set, and then, a new data set is obtained. Finally, Convolutional Neural Networks (CNN) [1] is used to test the ...