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Multisensor image fusion method based on optimized small wave filter set

A wavelet filter and multi-sensor technology, applied in image enhancement, image data processing, instruments, etc., to achieve the effect of improving fusion performance, image quality, and avoiding wrong decisions

Inactive Publication Date: 2008-06-18
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

However, there is currently no filter design method for image fusion. In the application of image fusion, the information of the fused image does not need to include all the information in the original image, and the intervention of small reconstruction errors has great impact on Little impact on fusion performance

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  • Multisensor image fusion method based on optimized small wave filter set
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  • Multisensor image fusion method based on optimized small wave filter set

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Embodiment Construction

[0018] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0019] A Multi-sensor Image Fusion Method Based on Optimal Wavelet Filter Bank figure 1 The process shown proceeds. Depend on figure 1 as shown, figure 1 In , the images to be fused are A and B. Firstly, wavelet transform is performed on images A and B respectively, and the image signal is expressed in a multi-scale form. The multi-scale representation of the signal has two parts, one is the high-frequency part that reflects the sudden change of the signal, that is, the detail part of the signal, and the other is the low-frequency part that reflects the general appearance of the signal. The high-frequency part is fused using a selection method based on visual characteristics, and the low-frequency part is fused using a weighted average algorithm. Finally, the fused image can be obtained by inverse wavelet transforming the...

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Abstract

This invention relates to a merge method for multiple sensor images based on an optimum small wave filter set, which applies small waves to carry out multi-dimension dissolution to the being merged images to get a series of HF components and a lowest frequency component, then applies a character pick up method based on the visual property to the HF part for merging and applies the weighted average method to merge the low frequency part to get the merged image by small wave inverse transformation to the merged results, finally applies the smallest mean-root-square error to evaluate the merged images and carries out optimized search to small coefficient taking the pass-band energy and the non-pass band energy of the small filter coefficient so as to get the optimum design of the small filter set.

Description

technical field [0001] The invention relates to a multi-sensor image fusion method based on an optimal wavelet filter bank, which is an image fusion method combining multi-scale and statistical methods in the field of information fusion, and can be used in optical imaging, target monitoring, security inspection and other systems. Can have a wide range of applications. Background technique [0002] Image fusion technology is the fusion of visual information in multi-sensor information fusion. It uses different imaging methods of various imaging sensors to provide complementary information for different images, increase the amount of image information, reduce the amount of original image data, and improve adaptability to the environment. In order to obtain more reliable and accurate useful information for observation or further processing. Image fusion technology is an emerging technology that integrates sensors, signal processing, image processing and artificial intelligence...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 刘刚靳希符阳
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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