Adaptive window size multi-focus images fused based on Sum of Modified Laplacian

Niwat Nomnob, Y. Kitjaidure
{"title":"Adaptive window size multi-focus images fused based on Sum of Modified Laplacian","authors":"Niwat Nomnob, Y. Kitjaidure","doi":"10.1109/JICTEE.2014.6804085","DOIUrl":null,"url":null,"abstract":"This paper presents a new method to improve image quality by using adaptive window size multi-focus image fusion based on Sum of Modified Laplacian (SML). The method employs the focus measurement to select the best in focus area of the input images. Then combine these areas to be the output image which all areas are in focus. The size of the window for the focus measurement is adjustable. The criterion to adjust the window size is the variance of gray level information of edged input images. Therefore, the proposed method will use suitable size of the window for each area in the input images. The result showed the improvement of this method, which gives the smoother boundary.","PeriodicalId":224049,"journal":{"name":"The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JICTEE.2014.6804085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper presents a new method to improve image quality by using adaptive window size multi-focus image fusion based on Sum of Modified Laplacian (SML). The method employs the focus measurement to select the best in focus area of the input images. Then combine these areas to be the output image which all areas are in focus. The size of the window for the focus measurement is adjustable. The criterion to adjust the window size is the variance of gray level information of edged input images. Therefore, the proposed method will use suitable size of the window for each area in the input images. The result showed the improvement of this method, which gives the smoother boundary.
基于改进拉普拉斯算子和的自适应窗口大小多焦点图像融合
提出了一种基于改进拉普拉斯算子和(SML)的自适应窗口大小多焦点图像融合提高图像质量的新方法。该方法采用聚焦测量的方法在输入图像的聚焦区域中选择最佳的图像。然后将这些区域组合成所有区域都聚焦的输出图像。聚焦测量窗口的大小是可调的。调整窗口大小的准则是输入边缘图像灰度信息的方差。因此,该方法将对输入图像中的每个区域使用合适的窗口大小。结果表明,该方法得到了更平滑的边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信