Fusion of infrared and visible images based on improved fuzzy rules in multi-scale domain

FENG Xin; HU Kai-qun

doi:10.3788/OPE.20152313.0623

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Fusion of infrared and visible images based on improved fuzzy rules in multi-scale domain

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- Fusion of infrared and visible images based on improved fuzzy rules in multi-scale domain
- Optics and Precision Engineering Vol. 23, Issue 10z, Pages: 622-629(2015)
- 作者机构：
  
  重庆工商大学制造装备机构设计与控制重庆市重点实验室重庆市国际科技合作基地装备系统服役健康保障国际联合研究中心, 重庆 400067
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152313.0623
  CLC： TP391
- Received：28 May 2015，
  
  Revised：12 June 2015，
  
  Published：14 November 2015
- 稿件说明：
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冯鑫, 胡开群,. 多尺度域内改进模糊规则的红外与可见光图像融合[J]. 光学精密工程, 2015,23(10z): 622-629

FENG Xin, HU Kai-qun,. Fusion of infrared and visible images based on improved fuzzy rules in multi-scale domain[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 622-629
冯鑫, 胡开群,. 多尺度域内改进模糊规则的红外与可见光图像融合[J]. 光学精密工程, 2015,23(10z): 622-629 DOI： 10.3788/OPE.20152313.0623.

FENG Xin, HU Kai-qun,. Fusion of infrared and visible images based on improved fuzzy rules in multi-scale domain[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 622-629 DOI： 10.3788/OPE.20152313.0623.

摘要

提出一种平移不变Shearlet域内改进模糊化规则的图像融合方法。首先分别对红外与可见光图像进行平移不变Shearlet变换获取高频和低频子带系数。然后

根据红外图像特性采用局部区域信息熵规则融合低频子带系数;针对Shearlet变换框架冗余特性

融合高频子带系数。为有效解决高频系数冗余信息

分别计算红外与可见光图像高频子带系数图模糊化后的隶属度、非隶属度和模糊度以及最优熵

将获取的模糊化系数图分块并分别根据黑白度获取混合图像

然后重构系数块图像并进行解模糊操作以获取融合后的高频子带系数。最后

通过平移不变Shearlet反变换得到最终的红外与可见光图像融合结果。实验结果表明

本方法融合结果边缘保持度超过0.85

消除了吉布斯现象

有较好的融合效果。

Abstract

On the basis of shift-invariant Shearlet domain fuzzy processing

an image fusion method with improved fuzzy rules was proposed. First of all

infrared and visible light images were processed by Shift Invariant Shearlet Transformation(SIST)to decomposed into low-pass and high-pass subbands. For low frequency subband coefficients

the rules of local area information entropy was used. For high frequency subband coefficients

the Shearlet transform frame redundancy was considered. To solve the redundant information of the high frequency subbands

the infrared and visible light image membership degree

non-belongingness degree

the hesitation degree of high-frequency sub-band figure and the optimal entropy were calculated. The two coefficient images were decomposed

then the total count of blackness

whiteness of two corresponding blocks are computed. Finally

the block of the blended coefficient image was constructed and the infrared and visible light images were obtained by using the SIST. This method effectively eliminates the Gibbs phenomenon

and offers an edge keeping degree more than 0.85.

关键词

Keywords

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Related Institution

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