吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (01): 225-234.doi: 10.13229/j.cnki.jdxbgxb201401037

• 论文 • 上一篇    下一篇

基于图像质量评价参数的非下采样剪切波域自适应图像融合

高印寒1, 陈广秋2,3, 刘妍妍2,3   

  1. 1. 吉林大学 汽车仿真与控制国家重点实验室, 长春 130022;
    2. 吉林大学 仪器科学与电气工程学院, 长春 130061;
    3. 长春理工大学 电子信息工程学院, 长春 130022
  • 收稿日期:2012-12-12 出版日期:2014-01-01 发布日期:2014-01-01
  • 通讯作者: 陈广秋（1977-），男，讲师，博士研究生.研究方向：图像配准与融合.E-mail：guangqiu_chen@126.com E-mail:guangqiu_chen@126.com
  • 作者简介:高印寒（1951-），男，教授，博士生导师.研究方向：车辆测试技术及机器视觉.E-mail：yinhan@jlu.edu.cn
  • 基金资助:

    高等学校博士学科点专项科研基金项目（20110061110059）；吉林省科技发展计划重点项目（20110326）.

Adaptive image fusion based on image quality assessment parameter in NSST system

GAO Yin-han1, CHEN Guang-qiu2,3, LIU Yan-yan2,3   

  1. 1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2. College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China;
    3. School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
  • Received:2012-12-12 Online:2014-01-01 Published:2014-01-01

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摘要：

为了提升多源图像融合精度，提出了一种基于图像质量评价参数的非下采样剪切波（NSST）域图像自适应融合方法。利用非下采样剪切波变换对源图像进行多尺度、多方向分解，低频子带图像采用结构相似度与空间频率两种图像评价参数作为系数权值，高频子带图像应用绝对值与邻域平均能量一致性选择的融合策略。应用非下采样剪切波逆变换重构图像。采用多组多源图像进行融合实验，并对融合结果进行了客观评价。实验结果表明：本文方法在主观和客观评价上均优于其他多尺度融合方法，具有更好的融合效果。

关键词: 信息处理技术, 非下采样剪切波, 融合策略, 客观评价, 平移不变性

Abstract:

To enhance the multi-source image fusion accuracy, an adaptive fusion method based on image quality assessment parameter in Nonsubsampled Shearlet Transform (NSST) domain is proposed. The Source images are decomposed to subband images with multi-scale and multi-direction in NSST. The low frequency subband fusion rule is based on the structural similarity index with spatial frequency as coefficient weights. For the high frequency subands, the fusion rule of coefficient absolute value with neighborhood average energy consistency selection is adopted. The fused low and high frequency coefficients are reconstructed to image by nonsubsampled shearlet inverse transform. Fusion experiments are conducted with several sets of different modality images, and the objective assessment of fused results is done. The experiment results show that the proposed algorithm performs better in subjective and objective assessments than a few existing multi-scale fusion techniques, and obtains better fusion performance.

Key words: information processing, nonsubsampled shearlet transform, fusion rule, objective assessment, shift-invariant

中图分类号: 

  • TN911

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