Multi-focus image fusion method based on transformation between PCNN and LP

A multi-focus image and image technology, which is used in image enhancement, image data processing, instrumentation, etc.

Inactive Publication Date: 2015-12-09
YUNNAN UNIV
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Problems solved by technology

Therefore, in a sense, this method is closer to the data processing method of the human brain. The traditional image fusion only considers the spatial characteristics of the pixels, while the pulse-coupled neural network is used for image fusion, because the network itself is not only related to the pixels. The spatial position of the point is related, and it has the temporal hierarchy of fusion

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  • Multi-focus image fusion method based on transformation between PCNN and LP
  • Multi-focus image fusion method based on transformation between PCNN and LP
  • Multi-focus image fusion method based on transformation between PCNN and LP

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[0025] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0026] The basic idea of ​​the present invention is: carry out LP transformation to the two multi-focus images to be fused that have been registered, obtain respective tower-shaped structure decomposition data, and then send each level of each image tower-shaped decomposition data into PCNN for Iterative operation to obtain its corresponding firing frequency matrix. Then calculate the regional spatial frequency of each decomposition level corresponding to the ignition frequency map, and then realize the fusion of the tower-shaped decomposition data of the source image at each tower-shaped level according to certain fusion rules, and finally use the LP The reconstruction algorithm obtains the final multi-focus fusion image.

[0027] see Figure 1-3 Specifically, the present invention comprises the following steps in turn:

[0028] Step 1: Th...

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Abstract

The invention discloses and provides an effective multi-focus image fusion method based on the transformation between Pulse Coupled Neural Vetwork (PCNN) and Laplacian Pyramid (LP). Firstly, the LP is utilized to perform multi-scale decomposition to images with a tower structure and the PCNN is utilized to process the decomposed images of each of the scales so as to acquire a neurons firing frequency diagram of a describing feature cluster; the fusion to the images at each of LP decomposition scales is realized, based on the local space frequency (LSF) of the firing frequency diagram; and lastly, the fusion to the multi-focus images are realized through restricting algorithm of LP decomposition. The experimental results show that the multi-focus image fusion result acquired by the method of the invention has advantages over various traditional fusion algorithms at the aspects of subjective visual effect and objective evaluation index; and the method shows good performance.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a multi-focus image fusion method based on PCNN and LP transformation. Background technique [0002] Multi-focus image fusion refers to the fusion of two or more source images with the same background but different focus parts into a new image according to a specific algorithm. It is widely used in computer vision, target recognition, robotics and military and other fields. [0003] Traditional pixel-level multi-resolution image fusion methods, including fusion methods based on Laplacian pyramid, ratio low-pass pyramid, gradient pyramid and wavelet transform, etc., when they perform multi-scale decomposition and coefficient selection on the source image, most of them are isolated Each pixel is processed, thereby separating the connection between pixels. From the perspective of image calculation, the analysis of high-frequency components in the image...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 聂仁灿金鑫周冬明王佺贺康建何敏余介夫谭明川
Owner YUNNAN UNIV
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