{"title":"基于二维EMD技术的图像缩放方法","authors":"Yan Tian, Ying Huang, Yong-xia Li","doi":"10.1109/WCICA.2006.1713962","DOIUrl":null,"url":null,"abstract":"Image zooming is a prime and important problem in image processing. An image decomposition method called empirical mode decomposition (EMD) is first addressed in this paper, and then the problems such as searching local extrema points and boundary extension are discussed in detail. On this basis, a new image zooming method using 2 dimensional (2D) EMD technique is proposed. The main procedures are designed as the following: first, by 2D EMD method, an image is decomposed into several layers, where each of them contains different details or possesses different roughness; second, each layer is zoomed using a combination method with different parameters that are proportional to roughness of that layer, at last, the final zooming result is reconstructed from the combined interpolated layers. Experimental results demonstrate the effectiveness of the proposed method","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Image Zooming Method Using 2D EMD Technique\",\"authors\":\"Yan Tian, Ying Huang, Yong-xia Li\",\"doi\":\"10.1109/WCICA.2006.1713962\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image zooming is a prime and important problem in image processing. An image decomposition method called empirical mode decomposition (EMD) is first addressed in this paper, and then the problems such as searching local extrema points and boundary extension are discussed in detail. On this basis, a new image zooming method using 2 dimensional (2D) EMD technique is proposed. The main procedures are designed as the following: first, by 2D EMD method, an image is decomposed into several layers, where each of them contains different details or possesses different roughness; second, each layer is zoomed using a combination method with different parameters that are proportional to roughness of that layer, at last, the final zooming result is reconstructed from the combined interpolated layers. Experimental results demonstrate the effectiveness of the proposed method\",\"PeriodicalId\":375135,\"journal\":{\"name\":\"2006 6th World Congress on Intelligent Control and Automation\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 6th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2006.1713962\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 6th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2006.1713962","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image zooming is a prime and important problem in image processing. An image decomposition method called empirical mode decomposition (EMD) is first addressed in this paper, and then the problems such as searching local extrema points and boundary extension are discussed in detail. On this basis, a new image zooming method using 2 dimensional (2D) EMD technique is proposed. The main procedures are designed as the following: first, by 2D EMD method, an image is decomposed into several layers, where each of them contains different details or possesses different roughness; second, each layer is zoomed using a combination method with different parameters that are proportional to roughness of that layer, at last, the final zooming result is reconstructed from the combined interpolated layers. Experimental results demonstrate the effectiveness of the proposed method