Pyramidal empirical modal analyze image merge method

An empirical mode decomposition and pyramid-shaped technology, which is applied in the field of image fusion, can solve the problems of large redundancy in image decomposition, unsuitable storage space, and multiple storage spaces, and achieve low redundancy in decomposition representation and decomposition The effect of fast calculation speed and high image fusion quality

Active Publication Date: 2009-06-03
TSINGHUA UNIV
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Problems solved by technology

Although the image fusion method of empirical mode decomposition has certain advantages over pyramid and wavelet fusion methods, it also has obvious shortcomings. First, the redundancy of image decomposition is large, and the decomposed representation takes up more storage space. , so it is not suitable for image fusion systems with small storage space, low network bandwidth or high real-time requirements

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Embodiment Construction

[0020] The pyramid-based empirical mode decomposition image fusion method of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] The fusion method of the present invention is a method for image fusion based on two technologies of pyramidal empirical mode decomposition, which maintains the advantages of pyramidal and empirical mode decomposition (EMD for short), making the redundancy compared to existing Some fusion methods have been reduced, the redundancy is less than 4 / 3, and the decomposition operation speed is fast, and the image quality after fusion is high.

[0022] refer to figure 1 As shown in , the present invention is based on the pyramid-shaped empirical mode decomposition image fusion method to include the following steps: first, the input source image is decomposed into a series of pyramid structures with high-frequency characteristics through the pyramid-shaped empirical ...

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Abstract

The present invention disclose a pyramidal empirical modal analyze image merge method, includes, first analyzing input source image to a series of detail image group with high frequency characteristic and pyramid structure and a similar image group with low frequency characteristic through pyramidal empirical modal analyze method; second merging analyzed detail image and similar image; at last executing inverse transforming of pyramidal empirical modal analysis to merged detail image and similar image to get merged image, wherein, pyramidal empirical modal analyze method includes one time empirical modal analyzing the image to intrinsic pattern function image and trend image; analyzing the tread image through the pyramidal and generate similar image and difference image; adding the difference image with the intrinsic pattern function image to get the detail image. The advantages of the invention lies in low redundance, quick analyze and calculate speed, and high quality of image merging.

Description

technical field [0001] The invention relates to an image fusion method, in particular to an image fusion method combining pyramidal decomposition and empirical mode decomposition. Background technique [0002] Image fusion is a technology that fuses information from two or more images of the same scene from the same or different types of sensors to generate a more accurate, comprehensive, and reliable image description or interpretation of the scene. (generally a composite image), this description or explanation is more suitable for human visual perception or computer processing. [0003] At present, there are many high-quality image sensors, such as forward-looking infrared, visible light, CT, MRI, millimeter-wave radar images, laser imaging radar, and synthetic aperture radar. Due to the different imaging principles and the limitations of technical conditions, any single image data cannot fully reflect the characteristics of the target object, which has limitations in the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 覃征郑有志
Owner TSINGHUA UNIV
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