电子学报 ›› 2015, Vol. 43 ›› Issue (6): 1192-1199.DOI: 10.3969/j.issn.0372-2112.2015.06.023

• 科研通信 • 上一篇    下一篇

基于各向异性热扩散方程的多聚焦图像融合算法

涂超平1, 肖进胜1,2, 杜康华1, 易本顺1   

  1. 1. 武汉大学电子信息学院, 湖北武汉 430072;
    2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079
  • 收稿日期:2013-09-22 修回日期:2014-01-15 出版日期:2015-06-25
    • 通讯作者:
    • 肖进胜
    • 作者简介:
    • 涂超平 男,1990年2月出生于湖北孝感.2012年于武汉大学获工学学士学位.武汉大学电子信息学院硕士生.主要研究方向:计算机视觉. E-mail:781512827@qq.com杜康华 男,1991年生,硕士研究生在读,主要研究领域为数字图像处理.易本顺 男,1965年生,博士,教授,博士生导师,主要研究领域为多媒体通信、无线网络通信.
    • 基金资助:
    • 国家自然科学基金重大研究计划项目 (No.91120002)

Multi-focus Image Fusion Algorithm Based on the Anisotropic Thermal Diffusion Equation

TU Chao-ping1, XIAO Jin-sheng1,2, DU Kang-hua1, YI Ben-shun1   

  1. 1. School of Electronic Information, Wuhan University, Wuhan, Hubei 430072, China;
    2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China
  • Received:2013-09-22 Revised:2014-01-15 Online:2015-06-25 Published:2015-06-25
    • Supported by:
    • Major Research Project of National Natural Science Foundation of China (No.91120002)

摘要:

本文根据多聚焦图像的光学成像原理,利用各向异性热扩散方程来估计图像深度信息,并讨论一种基于深度信息提取的多聚焦图像的融合算法.算法首先对两幅多聚焦图像进行光学成像过程的模拟,分别建立正向区域的热扩散方程,通过对热扩散方程的迭代求解估计出图像场景的深度信息.然后对深度信息进行自适应的区域划分,分别得到每幅图像的清晰区域,模糊区域和中间过渡区域.最后通过提取清晰区域的像素点,融合过渡区域的像素点实现多聚焦图像的融合.理论推导和实验验证表明,本方法能够克服常用算法中出现的块效应和人工痕迹,是一种有效的图像融合算法.

关键词: 多聚焦, 深度提取, 热扩散, 图像融合, 分层模型

Abstract:

A method for multi-focus image fusion based on depth information extraction is discussed.Under the optical imaging principle of multi-focus image, the anisotropic thermal diffusion equation is used to estimate the image depth information.Firstly, the optical imaging of two multi-focus images is simulated and the positive thermal diffusion equation is respectively established.After iteration of thermal diffusion equation, the image scene depth information is estimated.Depth information is adaptively divided, and images are divided into three regions:clear region, fuzzy region and intermediate transition region.Finally, the result of the proposed algorithm is achieved as soon as the pixels of clear region are extracted and pixels of transition region are fused.Theoretical analysis and experiment results show that the proposed algorithm is an effective method of image fusion that can overcome the block effect and artifacts in general algorithms.

Key words: multi-focus, depth extraction, diffusion, image fusion, layered model

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