Multi-focus image fusion method based on non-negative matrix factorization

A non-negative matrix decomposition, multi-focus image technology, applied in the field of image processing, can solve problems such as insufficient extraction and detailed feature representation, unsatisfactory fusion effect, and inability to adapt to block effects, so as to improve the quality of fusion images and suppress Block effect, articulate effect

Inactive Publication Date: 2014-09-10
NORTHWEST UNIV
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Problems solved by technology

[0011] The technical problem to be solved by the present invention is that in the field of multi-focus image fusion, the fusion algorithm is not clear enough to extract image features and detail features, and the block effect cannot be adaptively selected due to block size, and the fusion effect is not ideal.

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  • Multi-focus image fusion method based on non-negative matrix factorization
  • Multi-focus image fusion method based on non-negative matrix factorization
  • Multi-focus image fusion method based on non-negative matrix factorization

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Embodiment 1

[0064] Following the technical scheme of the present invention, this embodiment is figure 1 The two source images shown in (a) and (b) are fused, and the processing results are as follows figure 2 Shown in Propose. Simultaneously use Laplace (LAP), wavelet transform (DWT), non-subsampling-based contourlet transform (NSCT), spatial frequency (SF), non-negative matrix factorization (NMF), local non-negative matrix factorization (LNMF) , Sparse Nonnegative Matrix Factorization (SNMF), Sparsity Constrained Nonnegative Matrix Factorization (NMF SC ) eight image fusion methods figure 1 The two source images shown in (a) and (b) are fused, and the result is as follows figure 2 As shown, the quality evaluation of the fused images of different fusion methods is carried out, and the results shown in Table 1 are obtained through processing and calculation.

[0065] Table 1 Multi-focus image 'clock' fusion image quality evaluation.

[0066] Method MI Q AB / F Q 0 Q W...

Embodiment 2

[0068] Following the technical scheme of the present invention, this embodiment is Figure 4 The two source images shown in (a) and (b) are fused, and the processing results are as follows Figure 5 Shown in Propose.

[0069] Simultaneously use Laplace (LAP), wavelet transform (DWT), non-subsampling-based contourlet transform (NSCT), spatial frequency (SF), non-negative matrix factorization (NMF), local non-negative matrix factorization (LNMF) , Sparse Nonnegative Matrix Factorization (SNMF), Sparsity Constrained Nonnegative Matrix Factorization (NMF SC ) eight image fusion methods Figure 4 The two source images (a) and (b) shown are fused, and the result is as follows Figure 5 shown, yes Figure 5 The quality of the fused images of different fusion methods is evaluated, and the results shown in Table 2 are processed and calculated.

[0070] Table 2 Multi-focus image 'book' fusion image quality evaluation.

[0071]

[0072] In Table 1 and Table 2: Method represents ...

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Abstract

The invention discloses a multi-focus image fusion method based on non-negative matrix factorization. The method comprises the steps of: firstly fusing source images by a fusion algorithm based on NMF to obtain a temporary fused image; getting difference between the temporary fused image and each source image to obtain difference images of the temporary fused image and the source images; respectively commutating gradient energy of neighboring windows of the pixels in each difference image, building a decision matrix according to the size of gradient energy of neighboring windows of the pixels in the difference images, fusing corresponding pixels in the source images according to a certain fusion rule, and thereby obtaining a fused image. According to the method, the source images are fused for twice, the temporary fused image is built by extracting the global features of the source images, difference images of the temporary fused image and the source images are obtained, and accurate detection and judgment is performed to characteristics of the focusing areas of the source images by using the gradient energy of the difference images, and thereby quality of the fused image is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a multi-focus image fusion method based on non-negative matrix decomposition. Background technique [0002] Multi-focus image fusion is to use a certain fusion algorithm to extract the clear areas of multiple focused images in a scene obtained under the same imaging conditions after registration, and combine these areas to generate a single image of all the images in the scene. Clear images of objects. It is widely used in transportation, medical care, security, logistics and other fields. It can effectively improve the utilization rate of the sensor image information and the reliability of the system to detect and recognize the target table. [0003] Pixel-level image fusion directly adopts an appropriate fusion algorithm in the original image pixel gray space for fusion processing, the main purpose is to provide support for subsequent image enhancement, i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 陈莉张永新赵志华
Owner NORTHWEST UNIV
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