A big data -based large -scale compression ratio compression method

A technology of data compression and compression ratio, which is applied in the field of communication, can solve problems such as insufficient image compression methods, unsatisfactory implementation complexity, and poor image effects, etc., to improve the quality of restored images, simple linear operations, and wide coverage Effect

Active Publication Date: 2017-11-28
XIAN INSTITUE OF SPACE RADIO TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (2) The image compression method with large compression ratio is not perfect enough;
[0007] There are few methods with large compression ratio in the literature, or the implementation complexity cannot meet the requirements, or the compression performance is good for some images, but not good for other images

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A big data -based large -scale compression ratio compression method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Image compression technology has been widely used in various fields of the national economy, including remote sensing satellites, space probes and other spacecraft image compression, airborne aerial image compression, ground image compression, etc. With the advent of the era of big data, high-power compression technology will inevitably be more widely applied. The compression method of the present invention has distinctive features and a large compression ratio, can greatly improve the performance of the image data compression method, and has the effect of keeping the original image secret and concealed transmission, and has practical value in the field of image communication and information network transmission.

[0029] The unique method of "transmitting coefficients and errors at the sending end and the database linear calculation in advance, and error correction at the receiving end" of the present invention is suitable for image transmission in the case of an open c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention is a data compression method with a large compression ratio based on big data, which can achieve a lossy compression of 100 times to 10,000 times, and the method performs compression based on a pre-built image data set and linear transformation. Its characteristics are: linearly combine the original image A or its sub-images, and the basic image based on the image library, select the closest image, and encode and transmit the final linear coefficient and image error, thus avoiding the need to directly modify the original image. The problem that compression cannot improve the compression ratio breaks through the limitations of traditional data compression methods. The large amount of data learned offline is exchanged for the improvement of performance and compression ratio, which greatly reduces the complexity of decompression implementation.

Description

technical field [0001] The invention relates to an image communication method, in particular to a data compression method with a large compression ratio, and belongs to the field of communication (such as data communication technology, etc.). Background technique [0002] The current society is an information society, and the total amount of information data that needs to be transmitted is extremely large; with the development of science and technology, people's demand for high-resolution images is increasing, and the amount of data obtained is also very large, which poses a challenge for data storage and transmission. Bring a lot of pressure, therefore, people are always trying to improve the compression ratio and compression quality of data compression. [0003] Currently, image compression methods suffer from the following problems: [0004] (1) The compression ratio of the image data compression method is not high; [0005] The compression ratio of data compression sta...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/166H04N19/196H04N19/42H04N19/124
Inventor 周诠刘娟妮王鹏呼延烺崔涛魏佳圆
Owner XIAN INSTITUE OF SPACE RADIO TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products