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Data processing method and system, storage medium and computing equipment

A data processing and processing model technology, applied in the field of image processing, can solve problems such as poor processing effect, improve processing effect, improve detail quality, and solve the effect of poor processing effect

Pending Publication Date: 2021-10-26
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a data processing method and system, a storage medium, and a computing device, so as to at least solve the technical problem in the related art that the processing effect of the data processing method is poor in image restoration

Method used

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  • Data processing method and system, storage medium and computing equipment
  • Data processing method and system, storage medium and computing equipment
  • Data processing method and system, storage medium and computing equipment

Examples

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Embodiment 1

[0036] According to the embodiment of the present application, a data processing method is also provided. It should be noted that the steps shown in the flow charts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although in the flow chart The figures show a logical order, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0037] The method embodiments provided in the embodiments of the present application may be executed in mobile terminals, computer terminals or similar computing devices. figure 1 A block diagram of a hardware structure of a computer terminal (or mobile device) for realizing the data processing method is shown. Such as figure 1As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 may include but not limited...

Embodiment 2

[0067] According to an embodiment of the present application, a data processing method is also provided.

[0068] Figure 5 is a flowchart of the second data processing method according to the embodiment of the present application. Such as Figure 5 As shown, the method includes the following steps:

[0069] Step S502, acquiring the first image containing the target object;

[0070] Step S504, performing multiple downsampling on the first image to obtain multiple downsampled images;

[0071] In an optional embodiment, different sampling rates may be used to down-sample the first image to obtain multiple down-sampled images.

[0072] Step S506, using the processing model to process the first image and the plurality of down-sampled images to obtain a second image containing the target object, wherein the definition of the second image is different from that of the first image, and the processing model is used to The first image is input to the encoding network to obtain the...

Embodiment 3

[0078] According to an embodiment of the present application, a data processing method is also provided.

[0079] Figure 6 is a flowchart of a third data processing method according to an embodiment of the present application. Such as Figure 6 As shown, the method includes the following steps:

[0080] Step S602, receiving an input first image containing a target object;

[0081] In an optional embodiment, in order to facilitate users to upload blurred and low-quality images, users can be provided with a Figure 7 In the interactive interface shown, the user can upload an image by clicking the "upload image" button, or directly dragging the image file to the dashed box.

[0082] Step S604, using the processing model to process the first image to obtain a second image containing the target object, wherein the definition of the second image is different from that of the first image, and the processing model is used to input the first image to An encoding network to obtain...

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Abstract

The invention discloses a data processing method and system, a storage medium and computing equipment. The method comprises the following steps: acquiring a first image containing a target object; using the processing model for processing the first image to obtain a second image containing the target object, wherein the definition of the second image is different from that of the first image, and the processing model is used for inputting the first image into the coding network to obtain a feature map of the first image, and inputting the plurality of down-sampled first images and feature maps into a plurality of generative networks to obtain a second image, wherein the scales of the plurality of generative networks are different. According to the invention, the technical problem of poor processing effect of a data processing method during image restoration in the prior art is solved.

Description

technical field [0001] The present application relates to the field of image processing, and in particular, to a data processing method and system, a storage medium, and a computing device. Background technique [0002] At present, for blurred and low-quality images, the following methods can be used to achieve image restoration: face image generation algorithm and super-resolution algorithm. Algorithms usually perform detail filling based on the statistical properties of local image patches. [0003] However, it is difficult for the face generation algorithm to effectively control the content attributes of the output face, and it is difficult to keep the attributes of the high-definition face consistent with the input, and the super-resolution algorithm does not model the structural attributes of the face, resulting in frequent faces in the synthetic video. False textures appear, affecting quality. [0004] For the above problems, no effective solution has been proposed y...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06K9/00G06K9/62G06T3/40
CPCG06T3/4053G06T2207/10016G06F18/214G06T5/00
Inventor 王攀谢宣松杨凌波高占宁任沛然
Owner ALIBABA GRP HLDG LTD
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