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Visible light and infrared image fusion method based on Curvelet transformation

A technology of infrared image and fusion method, which is applied in the field of visible light and infrared image fusion, and can solve problems such as not being well solved.

Active Publication Date: 2014-02-05
WUHAN UNIV
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  • Description
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  • Application Information

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Problems solved by technology

However, in the field of visible light and infrared image fusion and enhancement, the problem of how to select appropriate high-frequency and low-frequency coefficients has not been well resolved.

Method used

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  • Visible light and infrared image fusion method based on Curvelet transformation
  • Visible light and infrared image fusion method based on Curvelet transformation
  • Visible light and infrared image fusion method based on Curvelet transformation

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Embodiment Construction

[0024] When applying multi-scale analysis methods to image fusion, the fusion rules play a vital role in the fusion algorithm. The conventional average or the rule with the largest modulus value will lead to a decrease in the quality of the fusion image. The focus evaluation operator comes from the field of multi-focus image fusion and is used to measure the degree of change of pixels. For a well-focused image region, the metric value of the focus evaluation operator will be relatively high. Considering the rich details of the visible light image, the outstanding characteristics of the infrared image target, and the sub-band of the image in the Curvelet domain can also be regarded as an image, and there is a change in amplitude, so using the focus evaluation operator to select the transformation domain coefficient of the fused image is reasonable. The present invention introduces the focus evaluation operator into the Curvelet domain, proposes a fusion method based on the foc...

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Abstract

The invention relates to a visible light and infrared image fusion method based on Curvelet transformation. The method includes the steps: firstly, subjecting an original image to quick dispersion Curvelet transformation to obtain a series of low-frequency and high-frequency sub-band factors of different lengths and directions, and calculating a focus evaluation value of each sub-band; secondly, using a local variance weighting strategy for the low-frequency sub-bands to complete reserve low-frequency information of the infrared image, and adding low-frequency characteristics of the visible light image; thirdly, using a four-step correlation coefficient matching strategy for the high-frequency sub-bands, and selecting a proper high-frequency coefficient; and finally obtaining a fused image through Curvelet inverse transformation. Using the method can effectively integrate useful information of original images, and compared with the traditional wavelet transformation method, pyramid method and the like, the visible light and infrared image fusion method has better fusion performance.

Description

technical field [0001] The invention belongs to the technical field of image processing data fusion, and relates to a visible light and infrared image fusion method based on Curvelet transformation. Background technique [0002] Infrared and visible light sensors are the two most commonly used sensors, they work in different wave bands and can provide complementary image information. The infrared sensor records the infrared radiation information of the target itself by obtaining the infrared radiation of the ground target. It relies on the thermal radiation difference between the detection target and the background to identify the target, so it has a special ability to identify camouflage, but it is not sensitive to changes in the brightness of the scene. , with low contrast. The visible light sensor is sensitive to the reflection of the target scene, has low noise content, and the acquired image has high definition, which can provide detailed information of the scene where...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50
Inventor 邵振峰刘军
Owner WUHAN UNIV
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