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Image fusion method based on hybrid model

A hybrid model and image fusion technology, applied in the field of image processing, can solve problems such as good effects, spectrum leakage, and aliasing

Inactive Publication Date: 2016-08-03
JIANGSU UNIV OF SCI & TECH
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Problems solved by technology

However, due to downsampling, the Contourlet transform has defects such as translation invariance, spectral leakage, and aliasing. Therefore, some scholars have performed image fusion based on the theory of non-subsampled Contourlet transform, namely NSCT theory, and achieved good results.
[0004] The system can be well matched with the fact that the human eye strongly perceives the three primary colors of red, green and blue, but the RGB model and other similar color models cannot be well adapted to the colors recognized by people in the world, that is, the HSI (hue, saturation degree and intensity) color model

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[0049] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0050] Such as figure 1 Shown, be a kind of image fusion method based on hybrid model of the present invention, concrete steps are as follows:

[0051] Step (1): Utilize the HIS triangular transformation to convert the RGB space of the image into the HIS space;

[0052] Step (2): using NSCT transformation in the HIS space to divide the I component in the image to obtain a high-frequency part and a low-frequency part;

[0053] Step (3): fuse the high-frequency part and the low-frequency part respectively, and then use NSCT inverse transformation to obtain the I' component;

[0054] Step (4): ...

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Abstract

The invention discloses an image fusion method based on a mixed model, which comprises the following steps: firstly transforming a color image from RGB space to IHS space through IHS transformation, and then forming two parts of high frequency and low frequency through NSCT theory. Then, the absolute value selection method and the second kind of Chebyshev polynomials are used to fuse the high-frequency part and the low-frequency part respectively. Finally, the inverse transformation and intensity inverse transformation are used to obtain the fusion result, and the final RGB fusion image is obtained through IHS inverse transformation. Compared with other existing fusion methods, the method of the invention has the advantages of abundant information and high definition.

Description

technical field [0001] The invention relates to an image fusion method, in particular to an image fusion method based on a mixed model, and belongs to the technical field of image processing. Background technique [0002] Image fusion refers to the process of image processing and computer technology to maximize the extraction of beneficial information in each channel from the image data collected by multi-source channels about the same target, and finally synthesize high-quality images to improve the accuracy of image information. Utilization, improve the accuracy and reliability of computer interpretation, improve the spatial resolution and spectral resolution of the original image, and facilitate monitoring. The methods of image fusion can be divided into two categories: based on multiresolution decomposition and based on estimation theory. [0003] The steps of image fusion based on multi-resolution decomposition can be divided into: first transform the original image in...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/10024G06T2207/20221
Inventor 陈超刘志闫青李强
Owner JIANGSU UNIV OF SCI & TECH
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