Image processing method and device for realizing privacy protection

A privacy protection and image technology, applied in the computer field, can solve problems such as data transmission leakage, and achieve the effect of protecting data privacy, improving compression rate, and improving effectiveness

Active Publication Date: 2020-10-16
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The data transmission process may have the risk of being leaked by other parties. Therefore, how to protect private

Method used

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  • Image processing method and device for realizing privacy protection
  • Image processing method and device for realizing privacy protection
  • Image processing method and device for realizing privacy protection

Examples

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Example Embodiment

[0029] The following describes the solutions provided in this specification with reference to the drawings.

[0030] First, combine figure 1 A specific implementation scenario is shown for description. figure 1 The implementation scenario shown is an image recognition scenario in the process of face-swiping payment. figure 1 It shows the face image recognition process of a face-swiping payment in a specific implementation scenario. figure 1 The face image recognition process in, is divided into two parts, the image acquisition part of the terminal platform, and the image recognition part of the server platform. These two parts need to be connected through the data network transmission of the terminal and the server.

[0031] On the terminal platform, smart terminals can collect facial images through image collection devices (such as cameras). After that, color features are collected from the face image. Different color coding methods correspond to different color feature represent...

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Abstract

The embodiment of the specification provides an image processing method for realizing privacy protection. A private image is subjected to desensitization and compression processing at a terminal; andimage recognition is carried out at a server side according to the desensitized and compressed data. Frequency domain features of the private image are extracted through the terminal; preprocessing and screening are carried out on the frequency domain feature map, and the feature map more beneficial to image recognition is obtained in a self-adaptive mode. Compared with pure image compression, the provided method has the advantages: the compression rate in the image transmission process is improved, data privacy is effectively protected, the data processing amount is reduced, so that the effectiveness of image processing is improved.

Description

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Claims

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Application Information

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Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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