有限离散剪切波域结合区域客观评价的图像融合

doi:10.13229/j.cnki.jdxbgxb201406048

吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (6): 1849-1859.doi: 10.13229/j.cnki.jdxbgxb201406048

有限离散剪切波域结合区域客观评价的图像融合

陈广秋^{1, 3}, 高印寒², 刘广文³, 孙俊喜³

1.吉林大学仪器科学与电气工程学院,长春130061;
2.吉林大学汽车仿真与控制国家重点实验室,长春130022;
3.长春理工大学电子信息工程学院,长春 130022

收稿日期:2013-08-22 出版日期:2014-11-01 发布日期:2014-11-01
作者简介:陈广秋(1977-),男,博士研究生.研究方向:图像配准与融合.E-mail:
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)

Image fusion based on area objective assessment in finite discrete shearlet transform domain

CHEN Guang-qiu^{1, 3}, GAO Yin-han², LIU Guang-wen³, SUN Jun-xi³

1.College of Instrumentation & Electrical Engineering, Jilin University,Changchun 130061,China;
2.State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022,China;
3.School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China

Received:2013-08-22 Online:2014-11-01 Published:2014-11-01

摘要/Abstract

摘要： 为了提升多源图像融合精度,提出了一种有限离散剪切波(FDST)域结合图像区域客观评价的自适应融合方法。该方法利用有限离散剪切波(FDST)对源图像进行多尺度、多方向分解,低频子带图像采用梯度信息相关性因子作为系数权值,高频子带图像应用绝对值与区域标准差一致性选择的融合策略。应用有限离散剪切波逆变换重构图像,采用多组多源图像进行融合试验,并对融合结果进行了客观评价。试验结果表明,本文提出的融合方法在主观和客观评价上均优于其他多尺度分解(MSD)融合方法。

关键词: 信息处理技术, 有限离散剪切波变换, 融合策略, 客观评价, 平移不变性

Abstract: To enhance the accuracy of multi-source image fusion, an adaptive fusion method is proposed. This method is based on the area objective assessment in Finite Discrete Shearlet Transform (FDST) domain. The source images are decomposed to subband images with multi-scale and multi-direction by FDST. The gradient information correlation factor is taken as the coefficient weight for low-frequency subband fusion; while for high-frequency subband, consistency selection of the coefficient absolute value and area standard deviation is adopted as the fusion rule. The fused low and high frequency coefficients are reconstructed to image by Finite Discrete Shearlet Inverse Transform (FDSIT). Fusion experiment is done with several sets of different modality images, and objective performance assessments of the fusion results are implemented. Results indicate that the proposed method performs better in subjective and objective assessments than other existing Multi-Scale Decomposition (MSD) fusion techniques.

Key words: information processing, finite discrete shearlet transform (FDST), fusion rule, objective assessment, shift-invariant

中图分类号:

TP391.4

陈广秋, 高印寒, 刘广文, 孙俊喜. 有限离散剪切波域结合区域客观评价的图像融合[J]. 吉林大学学报(工学版), 2014, 44(6): 1849-1859.

CHEN Guang-qiu, GAO Yin-han, LIU Guang-wen, SUN Jun-xi. Image fusion based on area objective assessment in finite discrete shearlet transform domain[J]. 吉林大学学报(工学版), 2014, 44(6): 1849-1859.

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有限离散剪切波域结合区域客观评价的图像融合

Image fusion based on area objective assessment in finite discrete shearlet transform domain

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