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New image fusion method based on shift invariance shearlet transformation

A technology of translation invariance and image fusion, which is applied in image enhancement, image data processing, instruments, etc., and can solve problems such as inability to effectively extract images

Active Publication Date: 2015-01-07
JIANGNAN UNIV
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Problems solved by technology

However, considering the complementarity and redundancy between multi-source images
Therefore, only relying on a single fusion strategy cannot effectively extract image information

Method used

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  • New image fusion method based on shift invariance shearlet transformation
  • New image fusion method based on shift invariance shearlet transformation
  • New image fusion method based on shift invariance shearlet transformation

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Embodiment Construction

[0072] 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 the following steps:

[0073] 1) Prepare two M×N (in this embodiment, M=256, N=256) source images A and B to be fused, and use SIST to decompose the two images into low-frequency sub-band and high-frequency sub-band coefficients respectively: with in, with is the low frequency subband coefficient; with 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.

[0074] 2) The low-frequency sub-band coefficients and high-frequency sub-band coefficients are fused using different fusion rules:

[0075] 2.1) For the low-frequency sub-band coefficients, the local structure descriptor for identifying image clarity is obtained through the local structure tensor singular value decomposition meth...

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Abstract

The invention discloses a new image fusion method based on shift invariance shearlet transformation (SIST). The method includes the implementation steps of firstly, conducting multi-scale multi-direction decomposition on a source image through SIST to obtain low-frequency sub-band coefficients and high-frequency sub-band coefficients; secondly, reflecting the outline information of the image through low-frequency sub-bands, obtaining local structure descriptors for identifying the image resolution through a local structure tensor singular value decomposition method, making the local structure descriptors serve as movement measure functions in the fusion strategy, and adopting large strategy fusion. High-frequency sub-bands display detail information of the image. The invention provides a new edge strength measurement method, and a multi-strategy fusion rule based on the sigmoid function and edge strength measurement is made and used for high-frequency sub-band fusion. Finally, reverse SIST is conducted on the obtained fusion coefficients to obtain a final fusion image. The method overcomes the defect that edge distortion is easily caused by a traditional image fusion method, and more edge and detail information is reserved through the fused image.

Description

technical field [0001] The invention belongs to the field of image fusion and its application, in particular to a new image fusion method based on translation invariant shearlet transform. Background technique [0002] Image fusion is an important branch of data fusion and a hot spot in current information fusion research. Image fusion refers to the process of aggregating complementary or redundant information obtained by multiple image sensors, so that the fused image is more suitable for human visual perception or computer processing. Image fusion technology is widely used in military, remote sensing, medical and other fields. [0003] From the current research methods, there are two types of image fusion methods: based on the spatial domain and based on the transform domain. The simplest method based on the spatial domain is to directly perform weighted average on the pixels of the original image, which is simple to implement, but the contrast of the fusion result is re...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/50
Inventor 罗晓清张战成张翠英吴小俊吴兆明李丽兵
Owner JIANGNAN UNIV
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