{"title":"一种基于四元数相位相关的亚像素彩色图像配准算法","authors":"Wei Feng, Bo Hu, Cheng Yang","doi":"10.1109/ICALIP.2008.4590016","DOIUrl":null,"url":null,"abstract":"In this paper, we extend the conventional phase-only correlation (POC) technique to the quaternion field (QPOC) and propose a subpixel color image registration algorithm based on the QPOC. Due to mathematical limitations, traditional POC-based registration algorithms can only be applied to grayscale images or at most complex images. A color image must be first converted to a grayscale one before performing the POC, during which the chrominance information has been wasted. The proposed algorithm not only can naturally make full use of the luminance as well as the chrominance information in color images, but also can directly estimate the subpixel translational shift from the 2D data array of the QPOC function. Experimental results have shown the effectiveness of our algorithm.","PeriodicalId":175885,"journal":{"name":"2008 International Conference on Audio, Language and Image Processing","volume":"47 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A subpixel color image registration algorithm using quaternion phase-only correlation\",\"authors\":\"Wei Feng, Bo Hu, Cheng Yang\",\"doi\":\"10.1109/ICALIP.2008.4590016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we extend the conventional phase-only correlation (POC) technique to the quaternion field (QPOC) and propose a subpixel color image registration algorithm based on the QPOC. Due to mathematical limitations, traditional POC-based registration algorithms can only be applied to grayscale images or at most complex images. A color image must be first converted to a grayscale one before performing the POC, during which the chrominance information has been wasted. The proposed algorithm not only can naturally make full use of the luminance as well as the chrominance information in color images, but also can directly estimate the subpixel translational shift from the 2D data array of the QPOC function. Experimental results have shown the effectiveness of our algorithm.\",\"PeriodicalId\":175885,\"journal\":{\"name\":\"2008 International Conference on Audio, Language and Image Processing\",\"volume\":\"47 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Audio, Language and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALIP.2008.4590016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Audio, Language and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALIP.2008.4590016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A subpixel color image registration algorithm using quaternion phase-only correlation
In this paper, we extend the conventional phase-only correlation (POC) technique to the quaternion field (QPOC) and propose a subpixel color image registration algorithm based on the QPOC. Due to mathematical limitations, traditional POC-based registration algorithms can only be applied to grayscale images or at most complex images. A color image must be first converted to a grayscale one before performing the POC, during which the chrominance information has been wasted. The proposed algorithm not only can naturally make full use of the luminance as well as the chrominance information in color images, but also can directly estimate the subpixel translational shift from the 2D data array of the QPOC function. Experimental results have shown the effectiveness of our algorithm.