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Image processing method, device and equipment

An image processing and image technology, applied in the field of image processing, can solve the problems of low image quality and low image processing efficiency, and achieve the effect of improving image quality and quality stability.

Pending Publication Date: 2020-04-03
TCL CORPORATION
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In view of this, the embodiment of the present invention provides an image processing method, device and equipment to solve the problems of low image processing efficiency and low picture quality in the existing super-resolution technology

Method used

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  • Image processing method, device and equipment
  • Image processing method, device and equipment
  • Image processing method, device and equipment

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Embodiment Construction

[0036] 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, systems, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0037] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate. Please refer to figure 1 , figure 1 The implementation flow of an image processing method provided by an embodiment of the present invention is shown, and the details are as follows:

[0038] In step S101, a loss function is established based on the weight values ​​obt...

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Abstract

The method is suitable for the technical field of image processing, and provides an image processing method, device and equipment. The method comprises the following steps: and establishing a loss function for weight values obtained by attention focuses at different positions in an image based on an attention model; training the neural network model by using the loss function, and inputting the to-be-processed image into the trained neural network model to generate a super-resolution image of the to-be-processed image, so as to achieve super-resolution processing of the to-be-processed image.According to the embodiment of the invention, the attention focus, namely the weight value, of the attention model is introduced into the process of constructing the loss function; a super-resolutionalgorithm in a neural network model is improved by improving a loss function, and more details are supplemented to a position with a relatively large weight value in an image, so that the image quality can be improved, a super-resolution image more conforming to a human eye vision rule is obtained, and the quality stability of the generated super-resolution image is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image processing method, device and 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,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06N3/04
CPCG06T3/4053G06N3/045
Inventor 关婧玮冯万良
Owner TCL CORPORATION
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