{"title":"经验模态分解方法在数字稳像中的应用对比分析","authors":"Neha Kottawar, D. J. Tuptewar","doi":"10.1109/ICCIC.2014.7238284","DOIUrl":null,"url":null,"abstract":"In this paper comparative analysis of digital image stabilization (DIS) is proposed. For comparison purpose Basic Empirical Mode Decomposition (EMD), Improved EMD, Ensemble Empirical Mode Decomposition (EEMD) and Complete Ensemble Empirical Mode Decomposition (CEEMD) methods are considered. Method used for digital image stabilization is of fully data driven approach. With the comparative analysis best version of the EMD for DIS on the basis of low RMSE error is decided. The concept used to determine jitter is high frequency and low amplitude property. Combination of each EMD method and Hilbert Transform is used for the analysis. Various methods of EMD give the different results the better method for digital image stabilization is decided and parameters of EEMD and CEEMD method are globalised.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Comparative analysis of digital image stabilization by using empirical mode decomposition methods\",\"authors\":\"Neha Kottawar, D. J. Tuptewar\",\"doi\":\"10.1109/ICCIC.2014.7238284\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper comparative analysis of digital image stabilization (DIS) is proposed. For comparison purpose Basic Empirical Mode Decomposition (EMD), Improved EMD, Ensemble Empirical Mode Decomposition (EEMD) and Complete Ensemble Empirical Mode Decomposition (CEEMD) methods are considered. Method used for digital image stabilization is of fully data driven approach. With the comparative analysis best version of the EMD for DIS on the basis of low RMSE error is decided. The concept used to determine jitter is high frequency and low amplitude property. Combination of each EMD method and Hilbert Transform is used for the analysis. Various methods of EMD give the different results the better method for digital image stabilization is decided and parameters of EEMD and CEEMD method are globalised.\",\"PeriodicalId\":187874,\"journal\":{\"name\":\"2014 IEEE International Conference on Computational Intelligence and Computing Research\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Computational Intelligence and Computing Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIC.2014.7238284\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Computational Intelligence and Computing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIC.2014.7238284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative analysis of digital image stabilization by using empirical mode decomposition methods
In this paper comparative analysis of digital image stabilization (DIS) is proposed. For comparison purpose Basic Empirical Mode Decomposition (EMD), Improved EMD, Ensemble Empirical Mode Decomposition (EEMD) and Complete Ensemble Empirical Mode Decomposition (CEEMD) methods are considered. Method used for digital image stabilization is of fully data driven approach. With the comparative analysis best version of the EMD for DIS on the basis of low RMSE error is decided. The concept used to determine jitter is high frequency and low amplitude property. Combination of each EMD method and Hilbert Transform is used for the analysis. Various methods of EMD give the different results the better method for digital image stabilization is decided and parameters of EEMD and CEEMD method are globalised.
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