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Method for fusing multi-focus images based on wavelet transform and neighborhood characteristics

A multi-focus image and wavelet transform technology, applied in the field of information fusion, can solve the problem of less research on low-frequency component fusion rules.

Inactive Publication Date: 2011-02-09
JIANGSU WENFENG CHEM FIBER GROUP +1
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Problems solved by technology

[0003] At present, people's research on multi-focus image fusion methods based on wavelet transform mainly focuses on the selection of high-frequency component fusion rules, while the research on low-frequency component fusion rules is less

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  • Method for fusing multi-focus images based on wavelet transform and neighborhood characteristics
  • Method for fusing multi-focus images based on wavelet transform and neighborhood characteristics

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Embodiment Construction

[0038] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0039] The hardware environment used for implementation is: AMD Athlon(tm) 2.60G computer, 2.0GB memory, 128M graphics card, and the running software environment is: Matlab7.0 and Windows XP. We have realized the method that the present invention proposes with Matlab software. The two multifocus grayscale images and the ideal image used in this experiment were taken from www.imagefusion.org.

[0040] The basic process of the present invention is attached figure 1 As shown, the specific implementation is as follows:

[0041] 1. Preprocessing: First, the cross-correlation method is used to perform image registration on two source images with different focuses; then, the grayscale adjustment of the image is carried out so that the grayscale range of the two images is in a consistent grayscale interval [0 , 255], two preprocessed images A and B are obtained;

[0...

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Abstract

The invention relates to a method for fusing multi-focus images based on wavelet transform and neighborhood characteristics, The method comprises the following steps of: firstly, performing multi-scale decomposition on the images by utilizing wavelet transform to acquire low-frequency and high-frequency information of images in different resolution ratios and directions; secondly, processing the low-frequency and the high-frequency information by adopting different fusion rules according to the characteristics of the low-frequency and the high-frequency information, wherein low-frequency subimages are processed by a neighborhood normalization gradient weighted average-based fusion method, so the defect that marginal information is ignored in the conventional low-frequency component fusion method is overcome, and high-frequency subimages are processed by a neighborhood standard deviation weighted average-based fusion method so as to retain detail information of the images furthest; and finally, performing wavelet reconfiguration to obtain the fused images. The method eliminates the phenomenon that marginal distortion exists in the conventional fusion algorithm, improves the quality and definition of the fused images, and can be applied to various military or civil multi-focus image fusion systems.

Description

technical field [0001] The invention relates to a multi-focus image fusion method based on wavelet transform and neighborhood features, which belongs to the field of information fusion and can be applied to various military or civilian multi-focus image fusion systems. Background technique [0002] The fusion of multi-focus images refers to the process of performing certain processing on multiple images formed due to different lens focus, and obtaining the result image with clear target focus. At present, the fusion methods of multi-focus images mainly include fusion methods based on pyramidal decomposition and fusion methods based on wavelet transform. Because the detail information of different resolutions in the pyramidal decomposition structure are correlated with each other, the stability of the algorithm is poor. The sub-band data obtained by orthogonal wavelet transform fall into mutually orthogonal subspaces respectively, so the correlation of detail information of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 郭雷程塨路艳赵天云姚希文
Owner JIANGSU WENFENG CHEM FIBER GROUP
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