Image inpainting method and system based on antagonistic generation neural network

A neural network and repair method technology, which is applied in the field of reasonable repair of missing digital images, and can solve problems such as areas, structures, and image semantics that cannot be applied to large scales.
CN109191402AActive Publication Date: 2019-01-11WUHAN UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
WUHAN UNIV
Publication Date
2019-01-11

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Abstract

The invention provides an image inpainting method and system based on antagonistic generation neural network, which comprises the following steps: firstly, constructing a self-encoder convolutional neural network (including encoder and encoding discriminator), a decoder (generator) convolutional neural network, a discriminator convolutional neural network, a global discriminator, and a local discriminator; Then, different loss functions are constructed for the five networks, and the whole network is trained by step-by-step training. Finally, when the network training is completed, the defect image is put into the network for repairing, and the result graph generated by the decoder (generator) is the final repairing result graph. The invention has the advantages that: the potential constraint of the image is kept and the image is thinned; an end-to-end image restoration network is implemented. The dependence of the repair network on the missing position mask information of the image iseliminated. The robustness in practical application is improved.
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Description

technical field

[0001] The invention belongs to computer and information service technology, in particular to a method and system for reasonably repairing missing digital images. Background technique

[0002] With the development of the information age and the popularization of digital equipment, digital images, as the carrier of image data recording and transmission, have the characteristics of efficient information storage, intuitive expression, and easy editing, bringing unprecedented opportunities for image shooting, storage, processing, and communication. change. Digital images have widely existed in people's lives, and are growing at an alarming rate. Images are often damaged or blocked during shooting, storage, processing, and transmission, making the information stored in the image lose its integrity, and the pixels in the image information often have a strong correlation with each other, so we can The damaged or unoccluded image information restores the lost image...

Claims

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