{"title":"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","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":"{\"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}","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}
Adaptive window size multi-focus images fused based on Sum of Modified Laplacian
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.