{"title":"一种基于小波分解的图像失真测量方法","authors":"Azeddine Beghdadi, B. Pesquet-Popescu","doi":"10.1109/ISSPA.2003.1224745","DOIUrl":null,"url":null,"abstract":"This paper introduces a novel image distortion measure based on a nonredundant wavelet decomposition. The proposed image quality measure is compared with the PSNR and a previously introduced Wigner-Ville distribution-based measure on some real images and simulated degradations. The obtained results are assessed on the basis of consistency with the subjective quality assessment and the complexity of the measure.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"52 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"72","resultStr":"{\"title\":\"A new image distortion measure based on wavelet decomposition\",\"authors\":\"Azeddine Beghdadi, B. Pesquet-Popescu\",\"doi\":\"10.1109/ISSPA.2003.1224745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a novel image distortion measure based on a nonredundant wavelet decomposition. The proposed image quality measure is compared with the PSNR and a previously introduced Wigner-Ville distribution-based measure on some real images and simulated degradations. The obtained results are assessed on the basis of consistency with the subjective quality assessment and the complexity of the measure.\",\"PeriodicalId\":264814,\"journal\":{\"name\":\"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.\",\"volume\":\"52 11\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"72\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.2003.1224745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2003.1224745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new image distortion measure based on wavelet decomposition
This paper introduces a novel image distortion measure based on a nonredundant wavelet decomposition. The proposed image quality measure is compared with the PSNR and a previously introduced Wigner-Ville distribution-based measure on some real images and simulated degradations. The obtained results are assessed on the basis of consistency with the subjective quality assessment and the complexity of the measure.