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基于快速清晰度估计的多聚焦图像融合

费春 张萍 李建平

计算机应用研究2016,Vol.33Issue(3):896-898,921,4.
计算机应用研究2016,Vol.33Issue(3):896-898,921,4.DOI:10.3969/j.issn.1001-3695.2016.03.058

基于快速清晰度估计的多聚焦图像融合

Multi-focus image fusion based on fast sharpness estimation

费春 1张萍 2李建平1

作者信息

  • 1. 电子科技大学 计算机科学与工程学院,成都 610054
  • 2. 电子科技大学 光电信息学院,成都 610054
  • 折叠

摘要

Abstract

This paper proposed a novel method multi-focus image fusion based on sharpness estimation in order to accurately estimate the sharpness area of source images and improved the efficiency of multi-focus image fusion.First,the proposed method obtained the focus areas from source images by using a sharpness estimation method based on discrete wavelet transform. Then,it used mean filter and hole-filling to optimize the focus areas.Finally,the proposed method selected different focus areas to generate fusion image combining sharpness estimation and similarity characteristics.The experimental results show that the proposed method outperforms to conventional fusion methods based on sharpness estimation in terms of objective evaluation and subject quality.

关键词

多聚焦/清晰度估计/图像融合/相似性

Key words

multi-focus/sharpness estimation/image fusion/similarity characteristics

分类

信息技术与安全科学

引用本文复制引用

费春,张萍,李建平..基于快速清晰度估计的多聚焦图像融合[J].计算机应用研究,2016,33(3):896-898,921,4.

基金项目

国家自然科学基金资助项目(61308102);高等学校博士学科点专项科研基金资助项目(20130185120038);四川省科技计划基金资助项目(2014GZ0005,2014JY0228);中国博士后科学基金资助项目(2013M531946);中央高校基本科研业务费资助项目 ()

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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