Image enhancement network training method, image processing method and related equipment
An image enhancement and training method technology, applied in the field of image processing, can solve the problems of slow running speed, large memory consumption, and reduced image efficiency, etc., to achieve the effect of fast running speed, increased efficiency, and small comprehensive training amount
Pending Publication Date: 2020-12-18
BEIJING KINGSOFT CLOUD NETWORK TECH CO LTD
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Problems solved by technology
The existing popular GAN network generally takes up a lot of memory and runs slowly, which reduces the efficiency of image enhancement
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[0055] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0056] The embodiment of the present invention provides a training method for an image enhancement network, which can be applied to various network platforms or terminals, using an adversarial generation network as a training framework, and the trained image enhancement network can be applied to various network devices , which is used to enhance the input low-definition image and output the corresponding high-definition image. The e...
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The invention discloses an image enhancement network training method, an image processing method and related equipment, and the image enhancement network training method comprises the steps: selectingan image generation network , selecting an initial image as a training sample in a training process, and inputting the training sample into an image generation network which consists of at least twogeneration sub-networks; and training the generation sub-networks in the image generation network one by one, ending the training of the image generation network when the last generation sub-network of the image generation network completes the training, and taking the trained image generation network as the image enhancement network. According to the training method of the image enhancement network provided by the embodiment of the invention, a layered training mode is used, and the input of each stage of generation sub-network is gradually increased from small size for training, so that compared with the existing adversarial generation network using full-size samples for training, the comprehensive training amount is smaller, the trained image enhancement network is small in occupied space and higher in operation speed, and the image enhancement efficiency is improved.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to an image enhancement network training method, image processing method and related equipment. Background technique [0002] With the development of Internet technology, people are increasingly dependent on quickly obtaining information, such as pictures and videos, through the Internet. However, a large number of pictures transmitted through the Internet have mediocre visual effects, and it is often difficult for Internet users to find pictures with good content and good image color. Improving the visual effect of images through image enhancement methods has a wide range of application scenarios. [0003] At present, deep learning technology is widely used in the field of image enhancement, especially the generative confrontation network (GAN) technology in deep learning is gradually emerging, and it can achieve good processing results when applied to image enhancement. ...
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Login to View More IPC IPC(8): G06T5/00G06N3/04G06N3/08
CPCG06T5/00G06N3/08G06N3/045Y02T10/40
Inventor 李果熊宝玉张文杰
Owner BEIJING KINGSOFT CLOUD NETWORK TECH CO LTD