吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (5): 1466-1473.doi: 10.7964/jdxbgxb201405039

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基于混沌粒子群优化的Contourlet域红外图像自适应增强

吴一全1, 2, 吴诗婳1, 张宇飞1   

  1. 1.南京航空航天大学 电子信息工程学院, 南京 210016;
    2.中航工业电光设备研究所 光电控制技术重点实验室, 河南 洛阳 471009
  • 收稿日期:2013-03-07 出版日期:2014-09-01 发布日期:2014-09-01
  • 作者简介:吴一全(1963), 男, 教授, 博士生导师.研究方向:图像处理与分析, 目标检测与识别.E-mail:nuaaimage@163.com
  • 基金资助:
    国家自然科学基金项目(60872065); 光电控制技术重点实验室与航空科学基金联合项目(20105152026); 中航工业合作创新产学研项目(CXY2010NH15); 计算机软件新技术国家重点实验室(南京大学)开放基金项目(KFKT2010B17); 江苏高校优势学科建设工程项目.

Infrared image adaptive enhancement in Contourlet domain based on chaotic particle swarm optimization

WU Yi-quan1,2,WU Shi-hua1,ZHANG Yu-fei1   

  1. 1.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2.Science and Technology on Electro-optic Control Laboratory, Institute of Electro-optical Equipnent of AVIC,Luoyang 471009, China
  • Received:2013-03-07 Online:2014-09-01 Published:2014-09-01

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摘要： 为进一步增强红外图像的对比度、提高清晰度并抑制噪声,提出了一种基于混沌粒子群优化(PSO)的Contourlet域红外图像自适应增强方法。首先对红外图像进行Contourlet变换,调整低通图像和细节图像在原始图像中的比例,并经灰度线性拉伸增强图像对比度;然后通过非线性增益函数调整含噪带通方向子带系数;利用兼顾对比度、清晰度和信噪比3个指标的定量综合评价函数作为混沌PSO的适应度,寻找基于Contourlet的空间域增强和带通方向子带系数调整的非线性增益函数所涉及的最优参数。大量实验结果表明:与近年提出的4种图像增强方法相比,该方法能使红外图像的对比度和清晰度提高,噪声降低,整体视觉效果更佳。

关键词: 信息处理技术, 红外图像增强, Contourlet变换, 自适应增强, 混沌小生境粒子群优化, 非线性增益函数

Abstract: To further enhance the contrast of infrared image, improve the definition and suppress the noise, an adaptive enhancement method in Contourlet domain based on chaotic Particle Swarm Optimization (PSO) is proposed. First, Contourlet transform of the infrared image is performed. The proportion of low-pass image and detail image in the original image is adjusted, and the contrast is enhanced by linear gray stretch. Then, the coefficients of noisy bandpass directional subbands are adjusted by nonlinear gain function. An integrated quantitative evaluation function is used as the fitness of the chaotic PSO. In this evaluation function three indexes are taken into account, i.e. contrast, definition and signal-to-noise ratio. The optimal parameters, involved in the enhancement method in spatial domain and the nonlinear gain function for adjustment of coefficients of bandpass directional subbands base on Contourlet, are obtained by chaotic PSO algorithm. Experimental results for a large number of infrared images show that, compared with four existing image enhancement methods, the proposed method improves the contrast of enhanced infrared image, increases the definition, reduces the noise, and has a better overall visual effect.

Key words: information processing technology, infrared image enhancement, Contourlet transform, adaptive enhancement, niche chaotic mutation particle swarm optimization, nonlinear gain function

中图分类号: 

  • TN911.73
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