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Secondary image fusion method combined with compressed sensing

A fusion method and secondary image technology, applied in the field of image processing, can solve the problems of high transmission pressure, large amount of fusion image data, large storage space, etc., to reduce the amount of data, reduce computational complexity, and save storage space. Effect

Active Publication Date: 2015-01-28
XIANGTAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Pixel-level image fusion refers to the process of directly processing the data collected by the sensor to obtain a fused image, but the amount of data required is large, the processing speed is slow, and the real-time performance is poor; feature-level image fusion refers to the process of preprocessing and feature extraction. The scene information obtained from the original input image, such as edge, shape, wheel and area, is synthesized and processed to achieve considerable information compression; decision-level fusion refers to making the optimal decision based on certain criteria and the credibility of each decision. Decision-making, this fusion has good real-time performance, but the preprocessing cost is high, and the information loss is the most
[0004] Various traditional image fusion methods process all the coefficients of the image for image fusion, so that there are the following disadvantages: 1) the data volume of the fused image is large, the storage space is large, and the transmission pressure is high; 2) the data calculation in the image fusion process is complicated High degree, long fusion time
However, in terms of extracting image contour and feature information, the details of the image are lost, resulting in the fused image not being clear enough to meet the needs of practical applications.

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  • Secondary image fusion method combined with compressed sensing
  • Secondary image fusion method combined with compressed sensing
  • Secondary image fusion method combined with compressed sensing

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Embodiment Construction

[0017] combine figure 1 , according to one aspect of the present invention, the specific implementation steps of the present invention are as follows:

[0018] Step 1. Source image T 1 , T 2 The pixel value at each point is approximated by the least squares method, ie min||Ax-b||, to obtain the approximate image B 1 , B 2 ,which is:

[0019] Where M and N are the height and width of the image respectively;

[0020] Step 2, the source image T 1 , T 2 with approximation image B 1 , B 2 Perform a difference operation on the pixel value to obtain a difference image C 1 、C 2 ,which is:

[0021]

[0022] Step 3. Approximate image B 1 , B 2 and difference image C 1 、C 2 The value of the element in the corresponding position of the matrix adopts the fusion rule of taking the largest absolute value to obtain the images B and C after the first fusion. The specific steps are as follows:

[0023] 1) Approximate the image B in the space domain 1 , B 2 , difference im...

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Abstract

The invention provides a secondary image fusion method combined with compressed sensing. The method comprises the steps that firstly, a least square approximation method is adopted to obtain an approximate image of a source image, and the difference between the source image and the approximate image is calculated to obtain a difference image; secondly, the approximate image and the difference image are fused in a spatial domain; based on fusion, a compressed sensing method is used for obtaining measured values of the approximate image and the difference image which are fused, and the measured values of the two images are fused again according to weight fusion rules to obtain a fused measured value; lastly, the fused measured value is subjected to reconstruction and inverse transformation through an orthogonal matching pursuit algorithm to obtain an image subjected to secondary fusion. By means of the secondary image fusion method combined with compressed sensing, outline information and feature information of the image can be extracted, more useful information of the source image can be reserved, and therefore the definition of the image is enhanced.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to image fusion technology, in particular to a secondary image fusion method combined with compressed sensing. Background technique [0002] Image fusion is an important branch of multi-sensor information fusion. The main idea of ​​image fusion is to combine images of the same scene obtained by different sensors or images of the same scene obtained by the same sensor at different times, after denoising, temporal registration, spatial registration and resampling, and then use specific fusion algorithms A composite image is obtained. The information in multiple original images can be reflected in the composite image to achieve a more accurate and comprehensive analysis and judgment of the target and scene. Moreover, image fusion technology can eliminate redundancy, increase complementarity, reduce uncertainty, reduce ambiguity, enhance information transparency, and improve inf...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/50
Inventor 裴廷睿郭勋朱更明李哲涛田淑娟
Owner XIANGTAN UNIV
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