Leida Li, Hancheng Zhu, Deqiang Cheng, Jeng-Shyang Pan
{"title":"一种新的基于矩量的图像质量度量","authors":"Leida Li, Hancheng Zhu, Deqiang Cheng, Jeng-Shyang Pan","doi":"10.1109/IIH-MSP.2013.139","DOIUrl":null,"url":null,"abstract":"This paper presents a new full-reference image quality measure using discrete orthogonal moments. The sign of the moment is considered and the relative difference of the moments is obtained by comparing the absolute moment difference (AMD) with the magnitude of the original moment. A new quality function is proposed, which is an exponential function of the relative moment difference (RMD). Simulation results show the efficiency of the method.","PeriodicalId":105427,"journal":{"name":"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","volume":"420 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Moment Based Image Quality Metric\",\"authors\":\"Leida Li, Hancheng Zhu, Deqiang Cheng, Jeng-Shyang Pan\",\"doi\":\"10.1109/IIH-MSP.2013.139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new full-reference image quality measure using discrete orthogonal moments. The sign of the moment is considered and the relative difference of the moments is obtained by comparing the absolute moment difference (AMD) with the magnitude of the original moment. A new quality function is proposed, which is an exponential function of the relative moment difference (RMD). Simulation results show the efficiency of the method.\",\"PeriodicalId\":105427,\"journal\":{\"name\":\"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing\",\"volume\":\"420 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIH-MSP.2013.139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2013.139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a new full-reference image quality measure using discrete orthogonal moments. The sign of the moment is considered and the relative difference of the moments is obtained by comparing the absolute moment difference (AMD) with the magnitude of the original moment. A new quality function is proposed, which is an exponential function of the relative moment difference (RMD). Simulation results show the efficiency of the method.