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Visible light and infrared image fusion algorithm based on NSCT domain bottom layer visual features

A low-level visual feature, infrared image technology, applied in the field of visible light and infrared image fusion algorithm, can solve the problem of lack of translation invariance, frequency mixing, etc.

Active Publication Date: 2016-06-29
云南联合视觉科技有限公司
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Problems solved by technology

For the contourlet transform, due to the existence of up-sampling and down-sampling operations in the decomposition, it lacks translation invariance, which easily leads to aliasing

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  • Visible light and infrared image fusion algorithm based on NSCT domain bottom layer visual features
  • Visible light and infrared image fusion algorithm based on NSCT domain bottom layer visual features
  • Visible light and infrared image fusion algorithm based on NSCT domain bottom layer visual features

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Embodiment Construction

[0099] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0100] This embodiment is to figure 2 A pair of registered visible and infrared images are fused. I VI Indicates the visible light image, I IR Represents an infrared image, and the low-frequency and high-frequency sub-band coefficients are respectively {I L,VI , I L,IR}, The pixel active levels of low-frequency and high-frequency sub-band coefficients are respectively {NAM VI (x,y),NAM IR (x,y)}, The fusion weights of low-frequency and high-frequency sub-band coefficients are respectively {Lmap VI (x,y), Lmap IR (x,y)}, The corresponding fusion subband coefficients are I L,F with The fusion image is I F . The calculation steps are as follows:

[0101] Step 1, input visible light and infrared image and carry out NSCT transformation, obtain the subband coefficient of visible light image and infrared image respectivel...

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Abstract

The invention provides a visible light and infrared image fusion algorithm based on non-subsample contourlet transform (NSCT) domain bottom layer visual features.Firstly, visible light and infrared images are subjected to NSCT, high and low frequency subband coefficients of the visible light and the infrared images are obtained, then phase equalization, neighborhood space frequency, neighborhood energy and other information are combined, the pixel active levels of the low frequency subband coefficients are comprehensively measured, fusion weights of the low frequency subband coefficients of the visible light and infrared images are obtained respectively, and therefore low frequency subband coefficients of fusion images are obtained; the pixel active levels of the high frequency subband coefficients are measured through the combination of phase equalization, definition, brightness and other information, fusion weights of the high frequency subband coefficients of the visible light and infrared images are obtained respectively, then high frequency subband coefficients of the fusion images are obtained, finally, NSCT reverse transformation is utilized, and final fusion images are obtained.Detail information of source images can be effectively reserved, and meanwhile useful information of the visible light images and the infrared images is synthesized.

Description

technical field [0001] The invention relates to a visible light and infrared image fusion algorithm based on the underlying visual characteristics of a non-subsampling contourlet transform (NSCT) domain, and belongs to the technical field of image fusion data processing. Background technique [0002] In the field of image processing, image fusion is a very promising research. Image fusion technology synthesizes a composite image by synthesizing useful information of multi-sensor images of the same scene or the same sensor images of different scenes. The synthesized composite image has all the characteristic information of the former, which is more suitable for later processing and research. An efficient fusion method can handle multi-channel information according to actual needs. These advantages make image fusion very popular in many fields. For example, remote sensing imaging, computer vision, detection, monitoring and other fields. Especially the fusion of visible lig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/20221G06T2207/10048
Inventor 李华锋邱红梅余正涛毛存礼郭剑毅
Owner 云南联合视觉科技有限公司
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