{"title":"基于参数化对数对偶树复小波变换的图像融合","authors":"S. Nercessian, K. Panetta, S. Agaian","doi":"10.1109/THS.2010.5655039","DOIUrl":null,"url":null,"abstract":"Image fusion combines multiple images into a single image containing the relevant information from each of the original source images. This paper introduces a new Parameterized Logarithmic Dual Tree Complex Wavelet Transform (PL-DT-CWT) and its application for image fusion. The new transform combines the Dual Tree Complex Wavelet Transform (DT-CWT) with the Parameterized Logarithmic Image Processing (PLIP) model, a nonlinear image processing framework for processing images. Experimental results via computer simulations illustrate the improved performance of the proposed algorithms by both qualitative and quantitative means.","PeriodicalId":106557,"journal":{"name":"2010 IEEE International Conference on Technologies for Homeland Security (HST)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Image fusion using the Parameterized Logarithmic Dual Tree Complex Wavelet Transform\",\"authors\":\"S. Nercessian, K. Panetta, S. Agaian\",\"doi\":\"10.1109/THS.2010.5655039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image fusion combines multiple images into a single image containing the relevant information from each of the original source images. This paper introduces a new Parameterized Logarithmic Dual Tree Complex Wavelet Transform (PL-DT-CWT) and its application for image fusion. The new transform combines the Dual Tree Complex Wavelet Transform (DT-CWT) with the Parameterized Logarithmic Image Processing (PLIP) model, a nonlinear image processing framework for processing images. Experimental results via computer simulations illustrate the improved performance of the proposed algorithms by both qualitative and quantitative means.\",\"PeriodicalId\":106557,\"journal\":{\"name\":\"2010 IEEE International Conference on Technologies for Homeland Security (HST)\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Technologies for Homeland Security (HST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/THS.2010.5655039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Technologies for Homeland Security (HST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/THS.2010.5655039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image fusion using the Parameterized Logarithmic Dual Tree Complex Wavelet Transform
Image fusion combines multiple images into a single image containing the relevant information from each of the original source images. This paper introduces a new Parameterized Logarithmic Dual Tree Complex Wavelet Transform (PL-DT-CWT) and its application for image fusion. The new transform combines the Dual Tree Complex Wavelet Transform (DT-CWT) with the Parameterized Logarithmic Image Processing (PLIP) model, a nonlinear image processing framework for processing images. Experimental results via computer simulations illustrate the improved performance of the proposed algorithms by both qualitative and quantitative means.
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