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Image processing method and device

An image processing and image technology, applied in the fields of computer vision and artificial intelligence, can solve problems such as unsatisfactory compressed image performance and unrecognizable computer vision systems

Active Publication Date: 2022-01-14
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is often a big difference between the similar images that human eyes think and the images that can be recognized by machines. The compressed images obtained by traditional image processing methods often perform unsatisfactory in subsequent tasks and even cause computer vision systems to fail. unrecognizable

Method used

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Embodiment Construction

[0069] The following will describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0070] figure 1 A schematic diagram of an artificial intelligence main framework is shown, which describes the overall workflow of an artificial intelligence system and is applicable to general artificial intelligence field requirements.

[0071] The following is a detailed elaboration of the above artificial intelligence theme framework from the two dimensions of "intelligent information chain" (horizontal axis) and "information technology (IT) value chain" (vertical a...

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Abstract

The application discloses an image processing method and device in the field of computer vision in the field of artificial intelligence. Wherein, the image processing method includes: acquiring an image to be processed; compressing the image to be processed according to a target image compression network to obtain a target compressed image of the image to be processed, wherein the parameters of the target image compression network are based on the The target image compression network is determined by the image loss of compressing the sample image, the image loss includes perceptual loss, and the perceptual loss refers to the difference between the feature vector of the sample image and the feature vector of the compressed image corresponding to the sample image, The difference between the eigenvector of the image to be processed and the eigenvector of the target compressed image is within a preset range; performing recognition based on the target compressed image to obtain a recognition result. The technical solution of the present application can improve the accuracy of the computer vision system in identifying the target compressed image.

Description

technical field [0001] The present application relates to the field of artificial intelligence, and more specifically, to an image processing method and device in the field of computer vision. Background technique [0002] With the continuous development of image processing technology and the continuous improvement of people's requirements for image display quality, neural networks (such as deep neural networks) have developed rapidly in the field of image processing in recent years, especially in electronic devices (such as mobile phones) , camera, smart home, self-driving car) are also more and more applications, such as face recognition, object detection, scene segmentation, etc. [0003] Image compression technology is the basis of image storage, processing and transmission, which refers to storing and transmitting images with as little data as possible. Among them, in most cases, the compressed image after compression is not required to be exactly the same as the origi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62H03M7/30
CPCH03M7/3062G06F18/241
Inventor 杨朝晖王云鹤许春景
Owner HUAWEI TECH CO LTD