Image Fusion Method Based on Significance Total Variational Model and * 2-Norm Optimization

A norm optimization and image fusion technology, applied in the field of image fusion, can solve the problem of less research on the fusion of infrared and visible light

Active Publication Date: 2019-01-15
CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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Problems solved by technology

At present, the TV method has been successfully applied in remote sensing image fusion, but there are relatively few studies on the fusion of infrared and visible light.

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  • Image Fusion Method Based on Significance Total Variational Model and * 2-Norm Optimization
  • Image Fusion Method Based on Significance Total Variational Model and * 2-Norm Optimization
  • Image Fusion Method Based on Significance Total Variational Model and * 2-Norm Optimization

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[0080] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0081] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under app...

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Abstract

The invention provides a total variational model based on saliency and a total variational model based on the total variational model and the total variational model based on saliency. 2- norm-optimized image fusion method and apparatus utilizes saliency weight coefficients based on frequency domain filtering method to express the contribution degree of source image to the fusion image in the datafidelity term, so that the fusion image can be adaptively fused with infrared salient information under the visible light background sensitive to human vision. At the same time, use 2-norm as a new regular term, the norm transfers the texture gradient information of the source image to the fusion image comprehensively, which overcomes the problems of low contrast and black artifact noise in the traditional fusion method to a certain extent, and shows superior fusion performance, which is more effective than the existing typical fusion technology.

Description

technical field [0001] The invention relates to the field of image fusion, in particular to an image fusion method and device based on a saliency total variation model and ℓ2-norm optimization. Background technique [0002] Since the beginning of the 21st century, image fusion technology has received extensive attention, research and continuous progress, and its application scale has gradually moved from the military field to various civilian fields, such as remote sensing detection, medical diagnosis, environmental protection and many other fields. application value. It is worth mentioning that the fusion of infrared and visible light is currently the most widely used fusion method. It can combine the spectral characteristics of these two source images, especially the combination of the target indication characteristics of infrared images and the scene information of visible light images, which can more effectively reduce noise and highlight the target, thereby increasing ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T7/33G06T7/40G06F17/11
CPCG06F17/11G06T5/50G06T7/33G06T7/40G06T2207/20221
Inventor 程博阳金龙旭李国宁
Owner CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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