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Image processing method, electronic equipment and storage medium

An image processing and image technology, applied in the field of data processing, can solve the problem that the image processing method cannot meet the higher image processing requirements, and achieve the effect of improving the processing effect and high usage requirements

Pending Publication Date: 2022-01-07
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide an image processing method, electronic equipment and storage medium in order to overcome the defect that the image processing method in the prior art cannot meet the higher image processing requirements

Method used

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

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0103] The image processing method of this embodiment includes:

[0104] Input the image to be processed to the image processing model for processing to obtain the target image.

[0105] In a feasible solution, such as figure 1 As shown, the image to be processed is input to the image processing model for processing, and the steps of obtaining the target image include:

[0106] S1011. Perform multi-level feature extraction processing on the image to be processed, and obtain several target encoding feature information;

[0107] Among the extracted target coding feature information at different levels, the low-level features include information such as color, edge, and texture, and the high-level features include rich semantic information.

[0108] S1012. Generate first target feature information based on the target encoding feature information, and perform feature extraction processing on the first target feature information to obtain global target feature information; the gl...

Embodiment 2

[0172] Such as Figure 14 As shown, the image processing system of this embodiment includes:

[0173] The target feature information acquisition module 1 is used to input the image to be processed into the image processing model for processing to obtain the target image;

[0174] Specifically, the target feature information acquisition module 1 includes:

[0175] The target encoding feature information acquisition unit 2 is used to perform multi-level feature extraction processing on the image to be processed, and obtain several target encoding feature information;

[0176] A first target feature information acquisition unit 3, configured to generate first target feature information based on target encoding feature information;

[0177] A global target feature information acquisition unit 4, configured to perform feature extraction processing on the first target feature information to acquire global target feature information;

[0178] The first target combination processin...

Embodiment 3

[0211] Figure 15 It is a schematic structural diagram of an electronic device provided by Embodiment 3 of the present invention. The electronic device includes a memory, a processor, and a computer program stored in the memory and operable on the processor. The image processing method in Embodiment 1 is implemented when the processor executes the program. Figure 15 The electronic device 30 shown is only an example, and should not limit the functions and scope of use of the embodiments of the present invention.

[0212] Such as Figure 15 As shown, electronic device 30 may take the form of a general-purpose computing device, which may be a server device, for example. Components of the electronic device 30 may include, but are not limited to: at least one processor 31 , at least one memory 32 , and a bus 33 connecting different system components (including the memory 32 and the processor 31 ).

[0213] The bus 33 includes a data bus, an address bus, and a control bus.

[0...

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Abstract

The invention discloses an image processing method, electronic equipment and a storage medium. The method comprises the following steps: carrying out the multi-level feature extraction processing of a to-be-processed image, and obtaining a plurality of pieces of target coding feature information; generating first target feature information to perform feature extraction processing on the first target feature information to obtain global target feature information; obtaining first target combined feature information, and processing the first target combined feature information by adopting a preset rule to obtain second target feature information; performing fusion processing on the second target feature information and the global target feature information to obtain target feature information; and decoding the target feature information to obtain a target image. Any to-be-processed image is preprocessed and then input into the built and trained image processing model, so that the target image with higher quality is finally output, the existing image enhancement and restoration processing effect is improved, and higher use requirements are met.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an image processing method, electronic equipment and storage media. Background technique [0002] Image enhancement and restoration has always been a popular and important research direction in computer vision. The current mainstream models are based on convolutional neural networks. The convolutional neural network adopts a stacking method and can extract features at different levels. Low-level features include information such as color, edge, and texture, and high-level features include rich semantic information. For example, Orest Kupyn et al. used generative confrontation network to solve the motion blur problem and help restore high-definition and natural images; Kokkinos F et al. realized the demosaic and noise reduction functions of mobile phone cameras based on iterative residual network to improve the user's photo experience; Bee Lim et al. realized super-resolu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06N3/04
CPCG06T2207/20081G06T2207/20221G06N3/045G06T5/00G06T5/90
Inventor 刘奥文廖术
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD