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A kind of image lossless compression method and electronic equipment

A lossless compression and image technology, applied in image communication, electrical components, digital video signal modification, etc., can solve the problems of lower compression efficiency and high compression cost

Inactive Publication Date: 2018-11-02
XIDIAN UNIV
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Problems solved by technology

[0004] However, this method is to compress the entire aurora spectral image. Since the aurora spectral image is transmitted in real time, when using this method, it needs to be compressed after the entire aurora spectral image is completed, which reduces the compression efficiency. During the compression process of the model, a large amount of coefficient side information will be generated, which makes the compression cost higher when using the method provided by the existing technology

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  • A kind of image lossless compression method and electronic equipment
  • A kind of image lossless compression method and electronic equipment
  • A kind of image lossless compression method and electronic equipment

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[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings. The transmission is performed, so correspondingly, the target aurora spectrum image includes at least one frame, and the target aurora spectrum image frame represents the currently received frame.

[0049] An embodiment of the present invention provides an image lossless compression method, referring to figure 1 As shown, the method specifically includes:

[0050] 101. According to the prediction model, predict each pixel in the acquired target auroral spectrum image frame to generate a predicted image frame.

[0051] 102. Perform a difference between the target aurora spectrum image frame and the predicted image frame to generate a residual image.

[0052] 103. Perform arithmetic coding on the residual image to generate a code stream file. ...

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Abstract

The invention discloses an image lossless compression method and an electronic device, and belongs to the field of image compression. The method comprises the following steps of: predicating each pixel in the obtained target auroral spectrum image frame according to a predication model to generate a predication image frame; evaluating the difference between the target auroral spectrum image frame and the predication image frame to generate a residual error image; carrying out arithmetic coding on the residual error image to generate a code stream file. The embodiment of the invention provides an image compression method, the predication model is established for each frame of an auroral spectrum image to compress, thus realizing real-time compression for the auroral spectrum image, and then increasing the compression efficiency and reducing the cost.

Description

technical field [0001] The invention relates to the field of image compression, in particular to an image lossless compression method and electronic equipment. Background technique [0002] In the process of collecting and transmitting aurora spectral images, due to the huge amount of data of aurora spectral images, the existing transmission bandwidth cannot meet the needs of aurora spectral images, so an image lossless compression method is needed to compress aurora spectra to realize aurora Transmission of spectral images. [0003] The prior art provides an image lossless compression method, which establishes an independent regression prediction model for each type of data after classification of the entire aurora spectral image, and then compresses the aurora spectral image according to the regression prediction model. [0004] However, this method is to compress the entire aurora spectral image. Since the aurora spectral image is transmitted in real time, when using thi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/593H04N19/182H04N19/91
Inventor 吴家骥任改玲吴振森胡红桥胡泽骏黄德宏
Owner XIDIAN UNIV
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