Image processing method and device, equipment and storage medium

An image processing device and image processing technology, applied in the field of image processing, can solve the problems of loss, the fact that the actual information cannot be guaranteed to be consistent or close, and the information is not fundamentally solved.

Pending Publication Date: 2021-05-14
上海眼控科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the image restored by this method can achieve a clear visual effect, it does not essentially solve the problem of information loss. The actual information cannot be guaranteed to be consistent or close to the original, because it is largely generated by the network. approximate result

Method used

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] figure 1 It is a flow chart of an image processing method provided in Embodiment 1 of the present invention. This embodiment is applicable to the case of processing high-resolution images, and the method can be executed by the image processing device in the embodiment of the present invention. The image processing device is configured in the first terminal, and the device can be realized by software and / or hardware, such as figure 1 As shown, the method specifically includes the following steps:

[0055] S110. Downsampling the original high-resolution image based on wavelet transform to obtain low-frequency information and high-frequency information.

[0056] Wherein, the first terminal may be a terminal corresponding to a vehicle management system, or may be another terminal that requires image transmission and has limited bandwidth or a network server, which is not limited in this embodiment of the present invention.

[0057] Wherein, the original high-resolution imag...

Embodiment 2

[0098] figure 2 It is a flowchart of an image processing method provided by Embodiment 2 of the present invention. This embodiment is applicable to the case of processing high-resolution images, and the method can be executed by the image processing device in the embodiment of the present invention. The image processing device is configured in the second terminal, and the device can be realized by software and / or hardware, such as figure 2 As shown, the method specifically includes the following steps:

[0099] S210. Receive a low-resolution image and an information distribution map.

[0100] Specifically, the first terminal sends the low-resolution image and the information distribution map to the second terminal, and the second terminal receives the low-resolution image and the information distribution map.

[0101] For example, the vehicle photos provided by the Vehicle Administration, the terminal corresponding to the vehicle annual inspection intelligent review system...

Embodiment 3

[0117] image 3 It is a schematic structural diagram of an image processing device provided by Embodiment 3 of the present invention. This embodiment is applicable to the situation of image processing, and the device can be realized by software and / or hardware, and the device can be integrated in any device that provides image processing functions, such as image 3 As shown, the image processing device is configured on the first terminal, and the image processing device specifically includes: a downsampling module 310 , a first input module 320 , a second input module 330 and a sending module 340 .

[0118] Wherein, the down-sampling module 310 is used for down-sampling the original high-resolution image based on wavelet transform to obtain low-frequency information and high-frequency information;

[0119] The first input module 320 is configured to input the low-frequency information into the target inverse neural network to obtain a low-resolution image;

[0120] The secon...

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Abstract

The invention discloses an image processing method and device, equipment and a storage medium. The method comprises the steps of performing down-sampling on an original high-resolution image based on wavelet transform to obtain low-frequency information and high-frequency information; inputting the low-frequency information into a target inverse neural network to obtain a low-resolution image; inputting the high-frequency information into the target inverse neural network to obtain an information distribution diagram; and sending the low-resolution image and the information distribution diagram to a second terminal, so that the second terminal generates a target high-resolution image according to the low-resolution image and the information distribution diagram. Through the technical scheme of the invention, the original information of the image can be better reserved in the down-sampling process, and the low-resolution image is restored by using the information in the up-sampling process, that is, a high-resolution image with more complete information can be restored only by transmitting the low-resolution image and adding the information distribution diagram.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image processing method, device, device, and storage medium. Background technique [0002] In the vehicle annual inspection intelligent review system, it is necessary to receive the vehicle photos provided by the vehicle management office first, but the bandwidth or network server of some vehicle management offices is limited, so the image will be down-sampled (compressed) first to become a very low-resolution image image. Although this can increase the transmission speed and storage cost, it will seriously damage the image quality, and even make it impossible to identify the information (such as the license plate number), which makes it impossible to review. Even if the image is restored to its original size, the image obtained by directly upsampling will still be very blurry. The essential reason for this problem is that information is l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06T3/4053G06T5/001G06T2207/20064
Inventor 高凯珺
Owner 上海眼控科技股份有限公司
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