{"title":"图像质量评估:一种超分辨率重建图像的简化参考算法","authors":"Kang-Long Yu, Zhao-kui Meng, Ming-jie Sun","doi":"10.1109/IMCCC.2013.43","DOIUrl":null,"url":null,"abstract":"The previous image quality assessment(IQA) methods request the same size of original and distorted image, not suitable for the super-resolution image. The effective of image size change has rarely been discussed. An improved reduced-reference image quality assessment (RRIQA) method based on the structural similarity image metric(SSIM) and scale invariant feature transform(SIFT) was put forward. The method is applicable to the super-resolution image, and considering more than one reference image. Experimental comparisons demonstrate the effectiveness of the proposed method.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Image Quality Assessment: A Reduced Reference Algorithm for the Super-resolution Reconstruction Image\",\"authors\":\"Kang-Long Yu, Zhao-kui Meng, Ming-jie Sun\",\"doi\":\"10.1109/IMCCC.2013.43\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The previous image quality assessment(IQA) methods request the same size of original and distorted image, not suitable for the super-resolution image. The effective of image size change has rarely been discussed. An improved reduced-reference image quality assessment (RRIQA) method based on the structural similarity image metric(SSIM) and scale invariant feature transform(SIFT) was put forward. The method is applicable to the super-resolution image, and considering more than one reference image. Experimental comparisons demonstrate the effectiveness of the proposed method.\",\"PeriodicalId\":360796,\"journal\":{\"name\":\"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMCCC.2013.43\",\"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 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2013.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Quality Assessment: A Reduced Reference Algorithm for the Super-resolution Reconstruction Image
The previous image quality assessment(IQA) methods request the same size of original and distorted image, not suitable for the super-resolution image. The effective of image size change has rarely been discussed. An improved reduced-reference image quality assessment (RRIQA) method based on the structural similarity image metric(SSIM) and scale invariant feature transform(SIFT) was put forward. The method is applicable to the super-resolution image, and considering more than one reference image. Experimental comparisons demonstrate the effectiveness of the proposed method.