Image fusion method based on compressed sensing

A technology of image fusion and compressed sensing, which is applied in the field of image processing, can solve the problems of unsatisfactory reconstruction accuracy and low complexity, and achieve the effect of avoiding the complexity of the sampling end and improving the detailed information

Inactive Publication Date: 2014-02-05
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

In the final image reconstruction process, the Orthogonal Matching Pursuit Algorithm (OMP) has become the first choice for the reconstruction algorit

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  • Image fusion method based on compressed sensing
  • Image fusion method based on compressed sensing
  • Image fusion method based on compressed sensing

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Embodiment Construction

[0044] Below in conjunction with accompanying drawing, a kind of image fusion method based on compressed sensing that the present invention proposes is described in detail:

[0045] Such as figure 1 As shown, the image fusion system based on compressed sensing proposed in this design divides the image to be fused into blocks. The processing flow is: divide the images 1 and 2 to be fused into S×T image blocks, A group of image blocks (represented as image blocks A, B); the process of fusing the image blocks each time is: transforming the divided image blocks A and B into one-dimensional column vectors (represented as X 1 , X 2 ), input it into the dual-channel pulse-coupled neural network model, and generate the preliminary fusion result X 3 ; The obtained preliminary fusion result X 3 will be simultaneously with X 1 and X 2 Perform compressed sampling together to obtain the compressed sampling value Y 1 , Y 2 and Y 3 , for Y 1 , Y 2 and Y 3 Perform fine fusion to ob...

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Abstract

The invention provides an image fusion method based on compressed sensing. The image fusion method includes the three steps of image collection, observed value fusion and image reconstruction. According to the image collection, an image to be fused is divided into image blocks, according to the observed value fusion, a double-channel pulse coupling neural network model is adopted for performing primary image fusion, and a weighted average method is adopted for performing fine fusion on observed values, and finally a final image fusion result is obtained through an image reconstruction algorithm. In the sampling step, characteristics of the image self to be fused are fully considered, and detail information of the result obtained through the fusion is improved; a partitioning compression method is adopted, the partitioned images are sampled and compressed at the same time at a sampling terminal, and complexity, caused by sparse processing performed in advance, of a traditional compressed sensing sampling terminal is avoided; the reconstruction algorithm is high in reconstruction speed and robustness.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image fusion method based on compressed sensing. Background technique [0002] With the development of the digital information age, image fusion technology has attracted more and more attention, especially the image fusion between infrared and natural light images and remote sensing images has become a research hotspot in this field. In recent years, image fusion technology based on Compressive Sensing has become a new development direction of image fusion technology. Compressed sensing was proposed by Candes and Donoho, and its core idea is to compress the signal while sampling it. The compressive sensing process of the signal can be described as: the non-adaptive linear projection measurement value of the signal is collected at the sampling end; at the reconstruction end, according to the measured value, the corresponding reconstruction algorithm is use...

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Application Information

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IPC IPC(8): G06T5/50
Inventor 朱卫平康彬颜俊孟庆民叶新荣
Owner NANJING UNIV OF POSTS & TELECOMM
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