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Image processing method and device and terminal equipment

An image processing and image technology, applied in the field of image processing, can solve problems such as poor subjective visual experience and image distortion in dark light

Pending Publication Date: 2020-07-07
TCL CORPORATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, an embodiment of the present invention provides an image processing method, device, and terminal equipment to solve the problems of existing low-light image distortion and poor subjective visual experience

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  • Image processing method and device and terminal equipment
  • Image processing method and device and terminal equipment
  • Image processing method and device and terminal equipment

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Embodiment Construction

[0034] 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.

[0035] 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:

[0036] In step S101, the basic neural network model is trained using a first loss fu...

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Abstract

The invention is suitable for the technical field of image processing, and provides an image processing method, an image processing device and terminal equipment. The image processing method comprisesthe steps of: training a basic neural network model by using a first loss function to obtain a first neural network model; training the first neural network model by using a second loss function to obtain a second neural network model; inputting a to-be-processed image into the second neural network model for processing; and generating a target image corresponding to the to-be-processed image. Through the dual effects of the first loss function and the second loss function, the finally obtained second neural network model can output a dark light image which is clearer and has more texture details, thereby enabling the subjective visual experience of people to be better.

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 terminal equipment. Background technique [0002] Under low-light conditions, it is difficult to quickly capture clear images using traditional imaging techniques. In order to solve the problem of single-frame low-light image restoration, there are many researches at present, and the most popular and effective method is the method based on deep learning. [0003] Although the current image processing model based on deep learning can improve the picture quality of low-light images to a certain extent, due to the limitations of the factors considered by the model, the restored image is usually smoother and blurred, and there is a large degree of image quality. Distortion, poor subjective visual experience. Contents of the invention [0004] In view of this, the embodiments of the present invention provide an image proc...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/214
Inventor 廖秋萍
Owner TCL CORPORATION