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    Incomplete Image Completion through GAN

    Biying Deng1 , Desheng Zheng1, *, Zhifeng Liu1 , Yanling Lai1, Zhihong Zhang2

    Journal of Quantum Computing, Vol.3, No.3, pp. 119-126, 2021, DOI:10.32604/jqc.2021.017250

    Abstract There are two difficult in the existing image restoration methods. One is that the method is difficult to repair the image with a large damaged, the other is the result of image completion is not good and the speed is slow. With the development and application of deep learning, the image repair algorithm based on generative adversarial networks can repair images by simulating the distribution of data. In the process of image completion, the first step is trained the generator to simulate data distribution and generate samples. Then a large number of falsified images are quickly generated using the generative… More >

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