Abstract:In order to obtain clear images and solve the problems of low image quality caused by noise disturbance, a lot of researches have been done on image denoising techniques. In the theoretical system of algorithms studied so far, many algorithms can effectively remove noise in low-dimensional images, but at the same time, the results are slightly inferior when processing high-dimensional images. This paper proposes a q-GAN, which uses multi-scale in generating networks. The convolution kernel extracts image featu… Show more
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