{"title":"A Mutual Information Based Sub-Pixel Registration Method for Image Super Resolution","authors":"Boyang Zhang, Ju Liu, Jinyu Chu, Jianping Qiao","doi":"10.1109/IIH-MSP.2009.80","DOIUrl":null,"url":null,"abstract":"Super resolution reconstruction of images has become a very important research topic nowadays. The accuracy of the image registration plays a crucial role in super resolution. In this paper we present a new sub-pixel registration method which makes use of the combination of mutual information measure criteria and the NEDI interpolation algorithm. Experimental results show that our proposed method can yield accurate registration results. When applying this registration results in SR image reconstruction, PSNR of the image estimated by our proposed method is 1−2 dB higher than those of the images reconstructed by other registration methods.","PeriodicalId":248382,"journal":{"name":"2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","volume":"158 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2009.80","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Super resolution reconstruction of images has become a very important research topic nowadays. The accuracy of the image registration plays a crucial role in super resolution. In this paper we present a new sub-pixel registration method which makes use of the combination of mutual information measure criteria and the NEDI interpolation algorithm. Experimental results show that our proposed method can yield accurate registration results. When applying this registration results in SR image reconstruction, PSNR of the image estimated by our proposed method is 1−2 dB higher than those of the images reconstructed by other registration methods.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
