Image processing method, device, storage medium and electronic equipment

An image processing and image frame technology, applied in the field of image processing, can solve problems such as harassment, and achieve the effect of improving security and ensuring that it is not stolen.

Active Publication Date: 2021-05-25
联仁健康医疗大数据科技股份有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] With the continuous development of AI recognition technology, users' videos or images may be recognized by illegal AI, which may lead to other personal information, which can be used for malicious pop-up recommendations, telecom harassment, and even borrowing from financial structures.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image processing method, device, storage medium and electronic equipment
  • Image processing method, device, storage medium and electronic equipment
  • Image processing method, device, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] figure 1 It is a schematic flow chart of an image processing method provided by Embodiment 1 of the present invention. This embodiment is applicable to image processing to avoid illegal identification of images. This method can be implemented by an image processing device provided by this embodiment of the present invention. Execution, the device can be integrated into electronic equipment such as computers, mobile phones, servers, etc. The method specifically includes the following steps:

[0029] S110. Acquire an image frame to be processed, perform encoding processing on the image frame to be processed, and obtain at least one encoding value of the image frame to be processed.

[0030] S120. Determine pixel adjustment strategies corresponding to at least two pixel value intervals based on the at least one encoding value.

[0031] S130. Perform pixel adjustment on pixels corresponding to pixel value ranges in the image frame to be processed based on each of the pixe...

Embodiment 2

[0061] figure 2 It is a schematic flowchart of an image processing method provided by an embodiment of the present invention, which is refined on the basis of the above embodiments, and the method specifically includes:

[0062] S210. Acquire an image frame to be processed, respectively extract three-channel data in the image frame to be processed, respectively perform encoding processing on the three-channel data, and obtain an encoding value corresponding to each channel.

[0063] S220. Determine pixel adjustment strategies corresponding to at least two pixel value intervals based on the at least one encoding value.

[0064] S230. Based on the pixel adjustment strategy determined by the corresponding encoding value of each channel, perform pixel adjustment on the pixels in the pixel value interval of the corresponding channel in the image frame to be processed to obtain a target image frame.

[0065] In this embodiment, the three-channel data (R, G, and B channel data) in ...

Embodiment 3

[0070] image 3 It is a schematic flowchart of an image processing method provided by an embodiment of the present invention, which is refined on the basis of the above embodiments, and the method specifically includes:

[0071] S310. Acquire an image frame to be processed, perform area division on the image frame to be processed, and perform encoding processing on each image area, to obtain an encoding value of each image area in the image frame to be processed.

[0072] S320. Determine pixel adjustment policies corresponding to at least two pixel value intervals based on the at least one encoding value.

[0073] S330. Based on the pixel adjustment strategy determined by the corresponding encoding value of each image area, perform pixel adjustment on the pixels in the pixel value range corresponding to the image area in the image frame to be processed to obtain a target image frame.

[0074] In this embodiment, the area division of the image frame to be processed may be perf...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an image processing method, device, storage medium and electronic equipment. The method includes: acquiring an image frame to be processed, performing encoding processing on the image frame to be processed, and obtaining at least one encoding value of the image frame to be processed; determining at least two corresponding pixel value intervals based on the at least one encoding value A pixel adjustment strategy: performing pixel adjustment on pixels corresponding to pixel value intervals in the image frame to be processed based on each of the pixel adjustment strategies to obtain a target image frame. The image processing method in this embodiment, on the basis of ensuring that the content of the image frame will not be distorted (that is, ensure that the human eye can recognize it), will affect the accuracy of illegal AI identification, so as to ensure that user information will not be stolen and improve the security of the image frame.

Description

technical field [0001] Embodiments of the present invention relate to image processing technologies, and in particular, to an image processing method, device, storage medium, and electronic equipment. Background technique [0002] With the development of science and technology, Internet services are increasingly integrated into life, replacing many traditional operation methods. Internet applications and small programs have become indispensable tools in people's life and work. With the deepening of "Internet +", more and more medical images, hospital surveillance videos, and medical teaching videos are converged to the data center through the network. In addition, in the process of handling online business, when it comes to important business such as health, medical institutions and others passively collect user information through video such as liveness detection. [0003] With the continuous development of AI recognition technology, users' videos or images may be recogniz...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06Q40/02
CPCG06V40/168G06V20/40G06V40/45G06V10/50G06Q40/03
Inventor 尹芳段翔马杰张晓璐张晓刚
Owner 联仁健康医疗大数据科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products