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Multi-attribute volume data compression method based on high-order tensor approximation

A compression method and multi-attribute technology, applied in image data processing, 3D image processing, instruments, etc., to achieve the effect of reducing the compression rate

Active Publication Date: 2017-12-22
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

To reduce the redundant information in these data, the traditional third-order tensor approximation cannot solve

Method used

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  • Multi-attribute volume data compression method based on high-order tensor approximation
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  • Multi-attribute volume data compression method based on high-order tensor approximation

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[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0032] Such as figure 1 Shown is a schematic flowchart of the multi-attribute volume data compression method based on high-order tensor approximation of the present invention. A multi-attribute volume data compression method based on high-order tensor approximation, comprising the following steps:

[0033] A. Preprocess the multi-attribute body data, and divide each attribute body into block data of the same size;

[0034] B. Represent the block data in step A as a high-order tensor, perform low-rank decomposition on the high-order tensor, and obtain a factor matrix and a core tensor;

[0035] C...

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Abstract

The invention discloses a multi-attribute volume data compression method based on high-order tensor approximation. The multi-attribute volume data compression method comprises the steps of: preprocessing multi-attribute volume data, carrying out low-rank decomposition on high-order tensor of blocked data to obtain a factor matrix and a core tensor, carrying out reconstruction to obtain an approximate higher-order tensor according to the factor matrix and the core tensor, and performing fusion rendering on each attribute volume to complete multi-attribute volume data compression. The multi-attribute volume data compression method greatly reduces the compression rate of tensor approximation, preserves original data of the multi-attribute volume, and effectively reflects target features of the data.

Description

technical field [0001] The invention belongs to the technical field of data compression, in particular to a multi-attribute volume data compression method based on high-order tensor approximation. Background technique [0002] In today's scientific research and production, people hope to present and interpret data in an intuitive and fast way. Therefore, data visualization has become a very important means of data research and analysis. After continuous development, an interdisciplinary field-scientific visualization was finally formed: using images to help people understand scientific and technological concepts and the results expressed by complex and large-scale data. Scientific visualization technology can effectively connect and bring out human vision and perception, and intuitively express the distribution and characteristics of data itself, especially the visualization of three-dimensional data. Among them, volume rendering technology, as an important means of data v...

Claims

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Application Information

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IPC IPC(8): G06T9/00G06T15/08
CPCG06T9/00G06T15/08
Inventor 鲁才陈婉彭立宇胡光岷
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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