Mosaic face image super-resolution reconstruction method based on generative adversarial network
A technology of super-resolution reconstruction and mosaic people, which is applied in the field of super-resolution reconstruction of mosaic face images, and can solve the problems of mosaic image restoration, monitoring and forensic fields.
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[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0032] Embodiments of the present invention provide a method for super-resolution reconstruction of mosaic face images based on generative confrontation networks, such as figure 1 As shown in -3, it is realized through the following steps:
[0033] Step 1: Construct a Demosaic GAN model for super-resolution reconstruction of mosaic face images;
[0034] Specifically, the specific structure of the Demosaic GAN image super-resolution reconstruction model includes a generator and a discriminator; wherein the generator has 5 convolutional layers, 8 SRDB layers, 1 skip connection layer and 1 Add layer....
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