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Image processing method, device, equipment and storage medium

A technology of image processing and processing methods, which is applied in the directions of image data processing, image enhancement, image analysis, etc., can solve the problems of high labor cost, low acquisition efficiency, and large manpower consumption, so as to achieve reduced labor cost, good applicability, and improved Get the effect of efficiency

Pending Publication Date: 2021-10-29
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, image processing methods usually obtain high-resolution and low-resolution sample images to train image processing models, so a large number of sample images are required, and the sample images need to be processed by technicians using image processing applications. The acquisition process requires a lot of manpower, the labor cost is high, and the acquisition efficiency is low. Therefore, the efficiency of the image processing method is low

Method used

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

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Embodiment Construction

[0069] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0070] In this application, the terms "first" and "second" are used to distinguish the same or similar items with basically the same function and function. It should be understood that "first", "second" and "nth" There are no logical or timing dependencies, nor are there restrictions on quantity or order of execution. It should also be understood that although the following description uses the terms first, second, etc. to describe various elements, these elements should not be limited by the terms. These terms are only used to distinguish one element from another. For example, a first image could be termed a second image, and, similarly, a second image could be termed a first image, without departing from the scope of the vario...

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PUM

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Abstract

The invention discloses an image processing method, a device, equipment and a storage medium, belongs to the technical field of artificial intelligence, and particularly relates to cloud computing, big data or databases and the like in the technical field of cloud. According to the embodiment of the invention, one processing mode can be randomly selected to carry out degradation processing on the first sample image with the high resolution to obtain the second sample image with the low resolution, so that the second sample image with the low resolution can be obtained without manual processing, the labor cost can be greatly reduced, and the obtaining efficiency of the low resolution is improved. In the training process, one processing mode can be selected for degradation processing each time, so that the target image processing model obtained through training can perform good image processing on the images obtained through processing of the multiple processing modes, the method can adapt to more image processing scenes, and therefore the target image processing model is good in applicability.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to an image processing method, device, equipment and storage medium. Background technique [0002] With the development of artificial intelligence technology, in many scenes, it is necessary to process low-resolution images to obtain high-resolution images. Through artificial intelligence technology, the image processing model can be trained through sample images to obtain the target image processing model. [0003] At present, image processing methods usually obtain high-resolution and low-resolution sample images to train image processing models, so a large number of sample images are required, and the sample images need to be processed by technicians using image processing applications. The acquisition process requires a lot of manpower, the labor cost is high, and the acquisition efficiency is low. Therefore, the image processing method has low eff...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T3/40G06T7/30
CPCG06T3/4053G06T7/30G06T2207/30201G06T2207/20221G06T5/92
Inventor 朱飞达汪铖杰邰颖李季檩
Owner TENCENT TECH (SHENZHEN) CO LTD
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