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Image generation method and terminal equipment

An image generation and image technology, applied in the field of image processing, can solve problems such as the inability to guarantee super-resolution image quality, and achieve the effect of improving super-resolution technology, improving image quality, and improving quality stability

Active Publication Date: 2019-11-15
TCL CORPORATION
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In view of this, the embodiment of the present invention provides an image generation method and a terminal device to solve the problem that the current super-resolution method cannot guarantee the quality of the generated super-resolution image

Method used

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  • Image generation method and terminal equipment
  • Image generation method and terminal equipment

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Embodiment Construction

[0030] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0031] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0032] figure 2 The implementation flowchart of the image generation method provided by the embodiment of the present invention is described in detail as follows:

[0033] In S201, a neural network model is constructed.

[0034] In this embodiment, the neural networ...

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Abstract

The invention relates to the technical field of image processing, and provides an image generation method and terminal equipment. The method comprises the following steps: constructing a neural network model; establishing a loss function according to the similarity relation of the brightness, the contrast ratio and the structure between the two images in the structure similarity theory; acquiringa sample image, and training the neural network model according to the sample image and the loss function; and inputting a to-be-processed image into the trained neural network model to generate a super-resolution image of the to-be-processed image. According to the method, the thought of the structure similarity theory is fused into the process of constructing the loss function, the super-resolution technology is improved by improving the loss function, the image quality can be improved, the super-resolution image more conforming to human eye vision is obtained, and the quality stability of the generated super-resolution image is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image generation method and terminal equipment. Background technique [0002] At present, super-resolution image processing technology has a very wide range of applications. For example, in image transmission, the image can be processed at the input end for dimensionality reduction, and then at the output end through super-resolution technology for dimensionality-enhancing processing, so that the amount of transmitted data can be obtained. A large degree of reduction is conducive to improving the transmission speed and relieving the pressure of network transmission; in terms of image storage, the image can be stored after dimensionality reduction processing, so that the size of the image will be reduced, thereby relieving the pressure of storage. When applying these images, these images are processed by super-resolution technology to increase the dimension, su...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06N3/04G06N3/08
CPCG06T3/4053G06T3/4046G06N3/084G06N3/045
Inventor 关婧玮
Owner TCL CORPORATION
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