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Infrared and visible light image fusion method based on robust principal component sparse decomposition

A sparse decomposition and infrared image technology, applied in the field of image processing, can solve problems such as spectral information loss

Inactive Publication Date: 2016-09-28
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method that utilizes the translation invariance of non-subsampling Contourlet transform and the sparseness of robust principal component analysis in view of the technical problem of excessive loss of spectral information in the source visible light image in the existing image fusion. characteristics, the fusion of infrared and visible light images can not only fully extract the target features in infrared images, but also retain the rich spectral information in visible light images

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  • Infrared and visible light image fusion method based on robust principal component sparse decomposition
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  • Infrared and visible light image fusion method based on robust principal component sparse decomposition

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[0020] In order to make the purpose, solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation modes and accompanying drawings.

[0021] see figure 1 , the infrared and visible light image fusion method based on robust principal component sparse decomposition of the present invention mainly includes the following process:

[0022] (1) Perform robust principal component analysis on the input infrared image IR and visible light image VI;

[0023] (2) Perform non-downsampling Contourlet transformation on the input infrared image IR and visible light image VI;

[0024] (3) Low-frequency sub-band image fusion of infrared image IR and visible light image VI;

[0025] (4) High-frequency sub-band image fusion of infrared image IR and visible light image VI;

[0026] (5) Reconstruct the fused sub-band image by using the non-subsampling Contourlet inverse transform method to obtain ...

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Abstract

The invention discloses an infrared and visible light image fusion method based on robust principal component sparse decomposition and belongs to the image processing technology field. The method is used to mainly solve a problem that spectral information of a visible light image loses too much during existing infrared and visible light image fusion. The method comprises the following steps of carrying out a robust principal component analysis on images which are accurately registered respectively so as to acquire respective sparse matrixes; carrying out non-downsampling Contourlet conversion on the images respectively so as to acquire respective high and low frequency sub-band images; using the sparse matrixes to fuse the low frequency sub-band image and the high frequency sub-band image; and carrying out non-downsampling Contourlet inverse transformation so as to acquire a fusion image. The method can be applied to registered infrared and visible light image fusion processing.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to fusion processing of infrared and visible light images. Background technique [0002] The imaging of infrared images is based on the thermal radiation characteristics of the scene, which is not affected by weather conditions and lighting environments, but the infrared images are generally blurred, and have low spatial resolution and image contrast; however, visible light images are based on the reflection characteristics of the scene Imaging, visible light images have high spatial resolution, clear texture information, and rich image detail components, but they are susceptible to interference from lighting conditions and weather environments. The fusion of infrared and visible light images can take advantage of the good complementary characteristics between the two, and combine the anti-interference characteristics of infrared images with the spectral information retenti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
CPCG06T5/50
Inventor 傅志中王雪王琦艺周宁李晓峰徐进
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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