{"title":"基于模糊双正交小波变换的图像融合新算法","authors":"Xiaojing Huang, H. Zeng","doi":"10.1109/IASP.2009.5054611","DOIUrl":null,"url":null,"abstract":"An image fusion system using a fuzzy biorthogonal wavelet transform technique is proposed and justified in this paper. The basic fuzzy sets are defined on the low-high, high-low, and high-high spatial frequency bands at different scales of biorthogonal wavelet transform on the visible light images and infrared images. The simulation results demonstrate the effectiveness of the fusion scheme in this article.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A new image fusion algorithm based on fuzzy biorthogonal wavelet transform\",\"authors\":\"Xiaojing Huang, H. Zeng\",\"doi\":\"10.1109/IASP.2009.5054611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An image fusion system using a fuzzy biorthogonal wavelet transform technique is proposed and justified in this paper. The basic fuzzy sets are defined on the low-high, high-low, and high-high spatial frequency bands at different scales of biorthogonal wavelet transform on the visible light images and infrared images. The simulation results demonstrate the effectiveness of the fusion scheme in this article.\",\"PeriodicalId\":143959,\"journal\":{\"name\":\"2009 International Conference on Image Analysis and Signal Processing\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Image Analysis and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IASP.2009.5054611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2009.5054611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new image fusion algorithm based on fuzzy biorthogonal wavelet transform
An image fusion system using a fuzzy biorthogonal wavelet transform technique is proposed and justified in this paper. The basic fuzzy sets are defined on the low-high, high-low, and high-high spatial frequency bands at different scales of biorthogonal wavelet transform on the visible light images and infrared images. The simulation results demonstrate the effectiveness of the fusion scheme in this article.