{"title":"基于类指定学习的低比特率压缩图像的超分辨率","authors":"Han Zhao, Xiaoguang Li, L. Zhuo","doi":"10.1109/ICMEW.2014.6890649","DOIUrl":null,"url":null,"abstract":"Due to limitations on the image capturing devices, distance, storage capability and bandwidth for transmission, many images in multimedia applications are low-bit-rate compressed and low resolution. In this paper, we proposed a class-specified learning based super resolution for this kind of low quality images. Firstly, we proposed a class-specified filter to remove the compressed distortions. Then a class-specified learning based scheme is employed to super resolve images with different compression rates. Experimental results show that the proposed method can improve both the objective and subjective quality of the images effectively.","PeriodicalId":178700,"journal":{"name":"2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A class-specified learning based super resolution for low-bit-rate compressed images\",\"authors\":\"Han Zhao, Xiaoguang Li, L. Zhuo\",\"doi\":\"10.1109/ICMEW.2014.6890649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to limitations on the image capturing devices, distance, storage capability and bandwidth for transmission, many images in multimedia applications are low-bit-rate compressed and low resolution. In this paper, we proposed a class-specified learning based super resolution for this kind of low quality images. Firstly, we proposed a class-specified filter to remove the compressed distortions. Then a class-specified learning based scheme is employed to super resolve images with different compression rates. Experimental results show that the proposed method can improve both the objective and subjective quality of the images effectively.\",\"PeriodicalId\":178700,\"journal\":{\"name\":\"2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMEW.2014.6890649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMEW.2014.6890649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A class-specified learning based super resolution for low-bit-rate compressed images
Due to limitations on the image capturing devices, distance, storage capability and bandwidth for transmission, many images in multimedia applications are low-bit-rate compressed and low resolution. In this paper, we proposed a class-specified learning based super resolution for this kind of low quality images. Firstly, we proposed a class-specified filter to remove the compressed distortions. Then a class-specified learning based scheme is employed to super resolve images with different compression rates. Experimental results show that the proposed method can improve both the objective and subjective quality of the images effectively.
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