A fast multi-focus image fusion method

A multi-focus image and fusion method technology, applied in the field of fast multi-focus image fusion and image processing system, can solve the problems of image halo artifacts and high computational complexity of the algorithm, and achieve the effect of improving fusion efficiency

Active Publication Date: 2022-05-27
NORTHWESTERN POLYTECHNICAL UNIV +1
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Problems solved by technology

[0005] Aiming at the problems that the local linear model of the existing multi-focus image fusion causes halo artifacts in the fused image and the calculation complexity of the algorithm is high, the present invention proposes a fast multi-focus image fusion algorithm

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  • A fast multi-focus image fusion method
  • A fast multi-focus image fusion method

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Embodiment Construction

[0068] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0069] The hardware environment used for implementation is: the experimental environment is CPU Intel Core i5-5200U@2.20GHz, memory is 4GB, and MATLAB R2014a is used for programming.

[0070] The basic process of the inventive method is as attached figure 1 As shown, the experimental source image data is attached figure 2 As shown, the comparison chart of the experimental results is shown in the attached image 3 As shown, the specific implementation is as follows:

[0071] Step 1: Decompose the source image using Gaussian smoothing filter

[0072] The Gaussian smoothing filter is used to decompose the multi-focus source image to obtain the low-frequency component, and the high-frequency component is obtained by subtracting the low-frequency component from the source image, as follows:

[0073]

[0074]

[0075] In the formula: I n is the multi-focus ...

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Abstract

The invention relates to a fast multi-focus image fusion algorithm. Firstly, the source image is decomposed with a smoothing filter and a decision graph model for multi-focus image fusion is constructed; secondly, the correlation between the neighborhood pixels of the multi-focus image is utilized , a fast-guided filtering optimization decision graph is proposed, and the computational complexity is also greatly reduced; then the two-scale images are reconstructed; finally, the multi-focus images are fused using the fusion method of the present invention and other triple existing fusion methods. Compared with the other three fusion methods, it can better preserve texture information and saliency information such as details of multi-focus images in terms of subjective vision and objective evaluation indicators.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a fast multi-focus image fusion method, which can be applied to various military or civilian image processing systems. Background technique [0002] Image fusion technology is to extract information from two or more images to obtain an image technology with richer information and more suitable for visual perception and computer processing. Multi-focus fusion is a kind of image fusion. Multi-focus image fusion refers to the fusion of multiple images with different focus points of the same scene into an image that is clearer than the source image. Due to the limited depth of field of modern optical lenses, it is difficult to obtain a clear image of all objects. Multi-focus image fusion technology can effectively solve this problem, improve the accuracy of image segmentation, and eliminate redundant information between data. Therefore, the research on multi-focus image ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/20221G06T2207/20024
Inventor 王健任萍张修飞杨珂
Owner NORTHWESTERN POLYTECHNICAL UNIV
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