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Multiscale Matrix Coding Method

A matrix coding and multi-scale technology, applied in the field of matrix coding, can solve the problems of high cost and large imaging system volume, and achieve the effects of reducing overall cost, high-resolution imaging, and large field of view

Active Publication Date: 2018-05-01
NANJING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to provide a multi-scale matrix coding method to solve the problems of large volume and high cost of existing imaging systems

Method used

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Experimental program
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Embodiment

[0032] combine image 3 , the multi-scale matrix coding method of this embodiment includes the following steps:

[0033] In the first step, input an initial encoding matrix of the same size as the image;

[0034] In hardware sampling, each light-transmitting position in the encoding matrix must be aligned with the image pixel. Therefore, in the simulation experiment, there must also be an encoding matrix of the same size;

[0035] In the second step, a first-level scale division is performed on the initial coding matrix to obtain multiple 16*16 first-level scale matrices;

[0036] The third step is to divide the first-level scale matrix into two-level scales to obtain multiple 2*2 second-level scale matrices, and perform local encoding on the second-level scale matrices; specifically:

[0037] Perform 01 distribution on the 2*2 secondary scale matrix;

[0038] combine Figure 4 , convert the 2*2 secondary scale matrix into a 1*4 row vector by column, and select a row vecto...

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Abstract

The invention discloses a multi-scale matrix encoding method, comprising the following steps: inputting an initial encoding matrix of the same size as an image; dividing the initial encoding matrix into a first-level scale matrix to obtain multiple first-level scale matrices; The first-level scale matrix is ​​divided into multiple second-level scale matrices, and the second-level scale matrix is ​​locally encoded; the first-level scale matrix is ​​globally encoded on the basis of local encoding. The present invention is based on the block-based compressed sensing technology, further divides the blocks, and according to the dependencies between pixels, can design a coding matrix that obtains more information about the block. Compared with the existing coding matrix, the structure is better.

Description

technical field [0001] The invention relates to a matrix coding method, in particular to a multi-scale matrix coding method. Background technique [0002] The traditional remote sensor must satisfy the Shannon sampling theorem during the signal acquisition process, that is, the sampling frequency must not be lower than twice the highest frequency of the signal. With the development trend of high spatial resolution, high time resolution and high spectral resolution of remote sensing images, remote sensors designed according to Shannon sampling theorem lead to massive sampling data, and the contradictions of storage, transmission and data processing are becoming increasingly prominent; in addition, this The limitation will also lead to the contradiction between the high investment in the design and manufacture of remote sensors and the low effectiveness in performance improvement. In order to break through the limitation of Shannon sampling theorem on the development of tradi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T9/00
Inventor 孙权森张路路刘亚洲
Owner NANJING UNIV OF SCI & TECH
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