{"title":"Image Decomposition Based on a Modified Bidimensional Empirical Mode Decomposition Method","authors":"Cheng Wang","doi":"10.4028/www.scientific.net/AMM.496-500.1931","DOIUrl":null,"url":null,"abstract":"This study introduces a modified bidimensional empirical mode decomposition method to deal with high resolution images. To avoid solving large linear equations and calculating large matrix, the images are split into several blocks, processed individually, and subsequently joined into one. Thus, the complexity of time and space is lowered efficiently.","PeriodicalId":8039,"journal":{"name":"Applied Mechanics and Materials","volume":"26 1","pages":"1931 - 1936"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mechanics and Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4028/www.scientific.net/AMM.496-500.1931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study introduces a modified bidimensional empirical mode decomposition method to deal with high resolution images. To avoid solving large linear equations and calculating large matrix, the images are split into several blocks, processed individually, and subsequently joined into one. Thus, the complexity of time and space is lowered efficiently.
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