S. Bosse, Qiaobo Chen, Mischa Siekmann, W. Samek, T. Wiegand
{"title":"基于shearlet的简化参考图像质量评估","authors":"S. Bosse, Qiaobo Chen, Mischa Siekmann, W. Samek, T. Wiegand","doi":"10.1109/ICIP.2016.7532719","DOIUrl":null,"url":null,"abstract":"This paper proposes a reduced reference image quality assessment method using only a low number of features. It involves a shearlet decomposition, directional pooling of the obtained coefficient and extracts the scalewise statistical location parameter as a feature. The proposed method is tested and compared to similar approaches on the LIVE image database. On this database it outperforms the compared methods on five of seven distortion types and on the full testset with a linear correlation of = 0.89.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"27 1","pages":"2052-2056"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Shearlet-based reduced reference image quality assessment\",\"authors\":\"S. Bosse, Qiaobo Chen, Mischa Siekmann, W. Samek, T. Wiegand\",\"doi\":\"10.1109/ICIP.2016.7532719\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a reduced reference image quality assessment method using only a low number of features. It involves a shearlet decomposition, directional pooling of the obtained coefficient and extracts the scalewise statistical location parameter as a feature. The proposed method is tested and compared to similar approaches on the LIVE image database. On this database it outperforms the compared methods on five of seven distortion types and on the full testset with a linear correlation of = 0.89.\",\"PeriodicalId\":6521,\"journal\":{\"name\":\"2016 IEEE International Conference on Image Processing (ICIP)\",\"volume\":\"27 1\",\"pages\":\"2052-2056\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Image Processing (ICIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2016.7532719\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Image Processing (ICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2016.7532719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a reduced reference image quality assessment method using only a low number of features. It involves a shearlet decomposition, directional pooling of the obtained coefficient and extracts the scalewise statistical location parameter as a feature. The proposed method is tested and compared to similar approaches on the LIVE image database. On this database it outperforms the compared methods on five of seven distortion types and on the full testset with a linear correlation of = 0.89.
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