Self-adaptive multi-strategy image fusion method based on riemannian metric

An image fusion, multi-strategy technology, applied in the field of image fusion

Inactive Publication Date: 2015-09-09
SUZHOU UNIV OF SCI & TECH
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Problems solved by technology

The operation of Riemannian space no longer follows Euclidean geometry, because it does not belong to vector space, for example, the space is not closed to multiplying negative numbers, so it cannot be operated by traditional Euclidean geometry operations

Method used

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  • Self-adaptive multi-strategy image fusion method based on riemannian metric
  • Self-adaptive multi-strategy image fusion method based on riemannian metric
  • Self-adaptive multi-strategy image fusion method based on riemannian metric

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Embodiment Construction

[0091] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings. Such as figure 1 shown, including

[0092] Next steps:

[0093] Step 1 Prepare the two images to be merged (in this example , ) source image and , using SIST to decompose the two images into low-frequency sub-band and high-frequency sub-band coefficients: and . in, and is the low frequency subband coefficient; and is a series of high frequency subband coefficients. The filter used by SIST is "maxflat", and the number of directions for decomposition is 6, 6, 6.

[0094] Step 2 Low-frequency sub-band coefficient fusion: For low-frequency sub-band coefficients, a fusion strategy based on weighted average is given to obtain low-frequency sub-band fusion coefficients. The fusion method of the low-frequency sub-band coefficients is:

[0095]

[0096] In the formula, , and representing the sour...

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Abstract

The invention discloses a self-adaptive multi-strategy image fusion method based on Riemannian metric. The method comprises the following steps: (1) carrying out the translation invariant shear wave transformation (SIST) decomposition for a to-be-fused image, and obtaining a low-frequency sub-band coefficient and a series of high-frequency sub-band coefficients; (2) taking different fusion principles respectively for the low-frequency sub-band coefficient and the high-frequency sub-band coefficients, taking a weighted average fusion strategy for the low-frequency sub-band coefficient; taking a self-adaptive multi-strategy fusion based on the riemannian metric for the high-frequency sub-band coefficients, giving Riemannian space non-simularity, calculating a geodesic distance of a Riemannian space formed by the high-frequency sub-band coefficients by utilizing affine invariant metric and Log-Euclidean metric, measuring a complementary redundant attribute of the image, and then obtaining the fused SIST coefficient; and (3) carrying out SIST inversion for the fused coefficient to obtain a fusion image. The invention belongs to the technical field of the image fusion, and the high-efficiency image fusion for multi-source images can be realized.

Description

technical field [0001] The invention belongs to the technical field of image fusion, in particular to an adaptive multi-strategy image fusion method based on Riemannian metrics. Background technique [0002] The process of image fusion is the process of extracting the features of the source image, but sometimes the direct operation on the gray value of the image cannot achieve a good degree of discrimination. Therefore, the image can be converted into a form containing richer information, such as a structure tensor. to produce more discriminative features (coded colors, gradients, etc.). Texture is one of the most important features of the image, so fully considering the texture information of the image can improve the quality of the fused image. [0003] As a fast local processing method, structure tensor has been used for texture analysis, which can be used as an edge preserving and orientation measure. Structure tensors are a very special class of matrices (positive def...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T3/40
Inventor 张战成罗晓清张翠英郑雪妮
Owner SUZHOU UNIV OF SCI & TECH
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