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Image merging method based on maximum expectation value and discrete wavelet frame

A wavelet frame and image fusion technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of high-frequency information loss in fusion results and the application of statistical models for image formation, so as to improve image fusion results and improve fusion. The effect of performance, image quality improvement

Inactive Publication Date: 2006-05-03
SHANGHAI JIAOTONG UNIV
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Problems solved by technology

However, the statistical properties in the multi-scale domain are approximately subject to the Gaussian mixture model. Since the signal in the high-frequency or passband part of the image is simulated as noise, it is easy to cause the loss of high-frequency information in the fusion result.
Therefore, this statistical model of image formation cannot be simply applied to the multi-scale domain

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  • Image merging method based on maximum expectation value and discrete wavelet frame
  • Image merging method based on maximum expectation value and discrete wavelet frame
  • Image merging method based on maximum expectation value and discrete wavelet frame

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Embodiment Construction

[0019] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0020] In the embodiment of the present invention, the figure 2 (a) represents the infrared image and figure 2 The visible light image represented by (b), and for the case of interference by noise image 3 (a) represents the infrared image and image 3 The visible light image shown in (b) is fused, and the image fusion method based on the maximum expected value and the discrete wavelet frame is adopted according to figure 1 The process shown proceeds. The specific implementation details of each part are as follows:

[0021] 1 Use the wavelet framework to decompose the image to be fused at multiple scales

[0022] The discrete wavelet frame is a modification of the discrete wavelet transform. When performing discrete wavelet transform on an image, it is generally necessary to down-sample the output of the high-frequency ...

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Abstract

An image fusion method based on the maximum expected value and the discrete wavelet frame. First, the wavelet frame is used to decompose the image to be fused in multiple scales, and a series of high-frequency components and a minimum frequency component of the wavelet frame are obtained. Then, the high-frequency part of the image is used The feature extraction method based on visual characteristics is used for fusion, and the low-frequency part of the image is fused using the method based on the maximum expected value. Finally, the fusion result of the high-frequency part and the fusion result of the low-frequency part are obtained by inverse wavelet transform to obtain the final fused image. The invention greatly improves the quality of the fused image, and has great significance and practical value for subsequent processing and image display of various application systems.

Description

technical field [0001] The invention relates to an image fusion method based on the maximum expected value and discrete wavelet frame, which is an image fusion method combining multi-scale and statistical methods in the field of information fusion, and can be widely used in optical imaging, target monitoring, security inspection and other systems application. 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. In rece...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 敬忠良刘刚孙韶媛李振华
Owner SHANGHAI JIAOTONG UNIV
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