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| 基于活性测度和闭环反馈的非下采样Contourlet域图像融合 | |
| 引用本文： | 杨晓慧,贾建,焦李成.基于活性测度和闭环反馈的非下采样Contourlet域图像融合[J].电子与信息学报,2010,32(2):422-426. |
| 作者姓名： | 杨晓慧 贾建 焦李成 |
| 作者单位： | 1. 西安电子科技大学智能信息处理研究所和智能感知与图像理解教育部重点实验室 西安 710071; 河南大学数学与信息科学学院 开封 475004 2. 西北大学数学系 西安 710069 3. 西安电子科技大学智能信息处理研究所和智能感知与图像理解教育部重点实验室 西安 710071 |
| 基金项目： | 国家自然科学基金(60802061,60702062);;河南省创新型科技人才队伍建设工程(084100510012);;河南省教育厅自然科学基金(2008B510001)资助课题 |
| 摘 要： | 基于人类视觉系统和源图像特性，该文提出一种非下采样Contourlet域图像融合算法，并讨论了分解层数和方向分解数对融合结果的影响。低通子带引入闭环反馈策略自适应获取近似最优融合权值；高通子带则基于区域能量定义像素活性测度，以有效增强图像的对比度，并保持细节信息。实验结果表明：该文提出的图像融合新算法具有较好的鲁棒性，融合图像边缘的清晰度和连续性也较理想。 |
| 关 键 词： | 图像融合 非下采样Contourlets 活性测度 闭环反馈 |
| 收稿时间： | 2008-9-3 |
| 修稿时间： | 2009-11-6 |
Image Fusion Algorithm in Nonsubsampled Contourlet Domain Based on Activity Measure and Closed Loop Feedback |
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| Yang Xiao-hui,Jia Jian,Jiao Li-cheng.Image Fusion Algorithm in Nonsubsampled Contourlet Domain Based on Activity Measure and Closed Loop Feedback[J].Journal of Electronics & Information Technology,2010,32(2):422-426. | |
| Authors: | Yang Xiao-hui Jia Jian Jiao Li-cheng |
| Affiliation: | Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi,an 710071, China; School of Mathematics and Information Sciences, Henan University, Kaifeng 475004, China; Department of Mathematics, Northwest University, Xi,an 710069, China |
| Abstract: | An image fusion algorithm in nonsubsampled Contourlet domain is presented based on Human Visual System (HVS) and source image characteristics. Moreover, the influence on fusion result of decomposition levels and directional decomposition numbers is discussed. Closed Loop Feedback (CLF) is introduced into low-pass subbands to obtain optimal fused weights adaptively. In high-pass subbands, Activity Measure (AM) is defined based on region energy to enhance contrast of fused images and protect detail information of source images. Experiment results show that the proposed fusion technique is robust and the fusion images have ideal clear and continue edges. |
| Keywords: | Image fusion Nonsubsampled Contourlets Activity Measure (AM) Closed loop feedback |
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