Image data compression method and system based on artificial intelligence

A technology of image data and artificial intelligence, applied in the field of artificial intelligence, can solve problems such as difficulty, increase network construction cost, affect compression efficiency, etc., and achieve the effect of quality assurance

Pending Publication Date: 2022-03-11
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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Problems solved by technology

[0003] In the process of using the network to compress image data, it is expected to achieve lossless compression of the image, that is, the color information in the image before and after compression remains unchanged. For image data, it is more complicated and difficult to achieve complete lossless compression, which will increase network construction. cost, which affects compression efficiency

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  • Image data compression method and system based on artificial intelligence
  • Image data compression method and system based on artificial intelligence
  • Image data compression method and system based on artificial intelligence

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[0031] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, in conjunction with the accompanying drawings and preferred embodiments, a method and system for image data compression based on artificial intelligence proposed according to the present invention will be described in detail. Embodiments, structures, features and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0033] The specific scheme of an image data compression method and syst...

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Abstract

The invention relates to the technical field of artificial intelligence, in particular to an image data compression method and system based on artificial intelligence. The method comprises the following steps: analyzing two-dimensional color information of a training image, analyzing boundary two-dimensional color information reaching a lossless effect boundary according to a two-dimensional standard deviation of the two-dimensional color information on a preset order, and obtaining a Gaussian model of each pixel point according to the two-dimensional standard deviation; the color tropism is obtained according to the difference of the compressed color information and the boundary two-dimensional color information on a Gaussian model, and a loss function is constructed by further combining the chromatic aberration between the pixel point and other pixel points in a neighborhood range before and after the pixel point is compressed. And training the self-encoding neural network by taking the two-dimensional color information as training data. Lossless compression is achieved through the self-encoding neural network. According to the method, the network is constrained by obtaining the boundary of the color latitude, and lossless compression of the image data by using the self-encoding neural network is realized.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an image data compression method and system based on artificial intelligence. Background technique [0002] A common data compression method is to perform a more complex inverse operation on the image to achieve lossless compression. The inverse operation is more complicated and difficult to operate on different types of image data. With the continuous development of the field of artificial intelligence, in the existing technology, artificial intelligence can be used to construct networks to perform adaptive and fast compression of image data. Common networks include self-encoding neural networks and so on. [0003] In the process of using the network to compress image data, it is expected to achieve lossless compression of the image, that is, the color information in the image before and after compression remains unchanged. For image data, it is more complicated...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/90G06T9/00
CPCG06T7/90G06T9/002
Inventor 陈明楚杨阳李玉华程军强曹洁王博张世征李保环彭伟伟于灏李俊龙
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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