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Image processing method and device, electronic equipment and storage medium

An image processing and image technology, applied in the field of computer vision, can solve problems such as visual distortion, reduce storage and transmission costs, and improve training effect and efficiency.

Active Publication Date: 2021-11-02
BEIJING SENSETIME TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the training of image compression network models, it is often necessary to specify a loss function that describes the fidelity of the image quality. The loss function will remain unchanged during the training process of the network model. However, the specified loss function can only partially represent human subjective feelings. Causes different types of visual artifacts at higher compression ratios

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

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Embodiment Construction

[0057] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0058] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0059] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein mean...

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Abstract

The invention relates to an image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the compression processing of a to-be-processed image, obtaining a first compression result of the to-be-processed image, carrying out the reconstruction processing of the first compression result, and obtaining a reconstructed image of the to-be-processed image, wherein the image processing method is realized through an image processing network, the image processing network is obtained through a training method for automatically adjusting a loss function through a reward function, the loss function of the image processing network comprises a plurality of sub-loss functions, and the reward function is used for adjusting the weight of the plurality of sub-loss functions in the training process. According to the embodiment of the invention, the image storage and transmission cost can be reduced.

Description

technical field [0001] The present disclosure relates to the technical field of computer vision, and in particular to an image processing method and device, electronic equipment, and a storage medium. Background technique [0002] With the development of information technology, image acquisition and image sharing have become ubiquitous. When the image data is too large, it will be difficult to store, transmit and process the image data. Therefore, effective compression of the image data is particularly important. [0003] Image compression technology based on deep learning has made great progress in recent years, and the compression effect has surpassed H.265 or even H.266 intra-frame coding. For the training of image compression network models, it is often necessary to specify a loss function that describes the fidelity of image quality. The loss function will remain unchanged during the training process of the network model. However, the specified loss function can only p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/42G06K9/62
CPCH04N19/42G06F18/214
Inventor 王岩孙保成何岱岚顾檬秦红伟
Owner BEIJING SENSETIME TECH DEV CO LTD