Infrared and visible light image fusion method based on phase consistency and target enhancement

A target enhancement and infrared image technology, applied in the field of infrared and visible light image fusion, can solve the problems of infrared target loss, poor contrast, loss of texture details, etc., and achieve the effect of intuitive visual observation

Pending Publication Date: 2020-07-28
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0005] In order to solve the problems of loss of texture details, poor contrast and loss of infrared target saliency in the traditional Laplacian pyramid fusion method, th

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  • Infrared and visible light image fusion method based on phase consistency and target enhancement
  • Infrared and visible light image fusion method based on phase consistency and target enhancement
  • Infrared and visible light image fusion method based on phase consistency and target enhancement

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[0032] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0033] Embodiments of the present invention provide an infrared and visible light image fusion method based on phase consistency and target enhancement;

[0034] Please refer to figure 1 , figure 1 It is a flow chart of an infrared and visible light image fusion method based on phase consistency and target enhancement in an embodiment of the present invention, specifically including the following steps:

[0035] S101: Using the Laplacian pyramid to perform multi-scale decomposition of the input image to obtain high frequency subbands and low frequency subbands of the input image;

[0036] S102: For the high-frequency sub-band: use the feature map extracted according to the phase consistency to establish a weight matri...

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Abstract

The invention provides an infrared and visible light image fusion method based on phase consistency and target enhancement. The method comprises the following steps: firstly, performing multi-scale decomposition on a source image by using a Laplace pyramid to obtain high and low frequency sub-bands; secondly, for the high-frequency sub-band, extracting an image feature map by adopting phase consistency, and calculating a weight matrix by using the feature map so as to obtain a fused high-frequency sub-band; for the low-frequency sub-band, firstly constructing an initial weight matrix accordingto the significance, and then adding the weight matrix of the infrared low-frequency sub-band and a correction term calculated by the low-frequency sub-band feature map to obtain a final infrared low-frequency sub-band weight matrix, thereby obtaining a fused low-frequency sub-band; and finally, obtaining a fused image through inverse transformation reconstruction of the Laplacian pyramid. According to the method, the edge and texture information of the fused image can be effectively reflected, the significance of the infrared target is well reserved, and meanwhile, the method has good contrast and visual effect.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an infrared and visible light image fusion method based on phase consistency and target enhancement. Background technique [0002] The fusion of infrared (IR) and visible light images plays an important role in military and civilian applications, such as target detection, surveillance, and intelligence gathering. Infrared imaging sensors can capture thermal radiation emitted by objects and are less affected by dark or harsh weather conditions . However, the obtained IR images usually lack sufficient background details of the scene. In contrast, visible images usually contain more detail and texture information and have corresponding infrared images with higher spatial resolution. Infrared and visible light image fusion can produce synthetic images that provide more information for human observation or computer vision tasks. [0003] Fusion methods based on multi-scale...

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Application Information

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IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/10048G06T2207/30168G06T2207/20221
Inventor 伍康乐陈珺罗林波龚文平宋俊磊陈小强魏龙生
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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