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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.

Active Publication Date: 2020-05-29
SHENZHEN AIXIESHENG TECH CO LTD
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Problems solved by technology

[0002] With the popularization of image editing software, people can easily perform mosaic processing on face pictures. This technology has a great effect, for example, to protect personal privacy; at the same time, it also brings a lot of inconvenience to the field of surveillance and forensic science , compared with the popularity of mosaic processing technology for face images, there are very few reports on mosaic image restoration

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  • Mosaic face image super-resolution reconstruction method based on generative adversarial network
  • Mosaic face image super-resolution reconstruction method based on generative adversarial network
  • Mosaic face image super-resolution reconstruction method based on generative adversarial network

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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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Abstract

The invention discloses a mosaic face image super-resolution reconstruction method based on a generative adversarial network. The mosaic face image super-resolution reconstruction method comprises thefollowing steps: constructing a Demosaic GAN model for mosaic face image super-resolution reconstruction; migrating the Xception network from the beginning to the block 13_pool layer, and carrying out feature extraction on the image data; constructing a loss function of a Demosaic GAN model for super-resolution reconstruction of the mosaic face image; constructing a mosaic face data set corresponding to the Demosaic GAN model, and training the Demosaic GAN model through the mosaic face data set to obtain a trained mosaic face image super-resolution reconstruction model; and performing super-resolution reconstruction on a mosaic face image to be processed through the trained mosaic face image super-resolution reconstruction model to obtain a reconstructed image. According to the invention,a single mosaic face image or a plurality of mosaic face images can be quickly reconstructed.

Description

technical field [0001] The invention relates to the field of image super-resolution reconstruction, in particular to a method for super-resolution reconstruction of mosaic face images based on generative confrontation networks. Background technique [0002] With the popularization of image editing software, people can easily perform mosaic processing on face pictures. This technology has a great effect, for example, to protect personal privacy; at the same time, it also brings a lot of inconvenience to the field of surveillance and forensic science Compared with the popularity of mosaic processing technology for face images, there are very few reports on mosaic image restoration. [0003] Mosaic refers to an image (video) processing method that is widely used at present. This method degrades the color scale details of a specific area of ​​​​the image and causes the effect of color blocks to be disrupted. Mosaic is different from image compression. Mosaic is an irreversible l...

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Application Information

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IPC IPC(8): G06T3/40G06N3/04G06N3/08
CPCG06T3/4053G06T3/4046G06N3/08G06N3/045
Inventor 梁丕树夏群兵杨高波徐永惠
Owner SHENZHEN AIXIESHENG TECH CO LTD