Face image super-resolution reconstruction method based on an attribute description generative adversarial network
A super-resolution reconstruction and face image technology, which is applied in the field of digital image/video signal processing, can solve problems such as the difficulty in reconstructing the real attribute information of face identity, and achieve the effects of improving learning ability, promoting generation ability, and enhancing quality
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[0052] The following describes the implementation examples of the present invention in detail with reference to the accompanying drawings of the specification:
[0053] A face image super-resolution reconstruction method based on attribute description generation confrontation network, divided into training phase and reconstruction phase, the overall flow chart is attached figure 1 As shown; the overall structure diagram of the network for generating the confrontation network is attached figure 2 Shown.
[0054] (1) In the process of preprocessing the training data, in order to reduce errors caused by the background and posture of the face image, the present invention obtains the training sample library through three stages. In the first stage, considering that the common face data sets "CelebA" and "LFW" at home and abroad are obtained from actual monitoring, and their universality and important experimental comparison significance, the present invention uses data including 202,599...
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