基于噪声级自适应字典的超分辨率算法

IEEE International Symposium on Consumer Electronics (ISCE 2010) Pub Date : 2010-06-07 DOI:10.1109/ISCE.2010.5523242

Shin-Cheol Jeong, Y. Kang, B. Song

{"title":"基于噪声级自适应字典的超分辨率算法","authors":"Shin-Cheol Jeong, Y. Kang, B. Song","doi":"10.1109/ISCE.2010.5523242","DOIUrl":null,"url":null,"abstract":"This paper presents a noise-robust super-resolution algorithm. In learning phase, a dictionary classified according to noise level is constructed, and then a high-resolution image is synthesized using the dictionary in the inference phase. Experimental results show that the proposed algorithm outperforms the existing algorithms even for noisy images.","PeriodicalId":403652,"journal":{"name":"IEEE International Symposium on Consumer Electronics (ISCE 2010)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Super-resolution algorithm using noise level adaptive dictionary\",\"authors\":\"Shin-Cheol Jeong, Y. Kang, B. Song\",\"doi\":\"10.1109/ISCE.2010.5523242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a noise-robust super-resolution algorithm. In learning phase, a dictionary classified according to noise level is constructed, and then a high-resolution image is synthesized using the dictionary in the inference phase. Experimental results show that the proposed algorithm outperforms the existing algorithms even for noisy images.\",\"PeriodicalId\":403652,\"journal\":{\"name\":\"IEEE International Symposium on Consumer Electronics (ISCE 2010)\",\"volume\":\"2016 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Symposium on Consumer Electronics (ISCE 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.2010.5523242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Consumer Electronics (ISCE 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2010.5523242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

提出了一种抗噪声的超分辨算法。在学习阶段，根据噪声级别构建分类字典，然后在推理阶段使用字典合成高分辨率图像。实验结果表明，即使在有噪声的图像中，该算法也优于现有算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Super-resolution algorithm using noise level adaptive dictionary

This paper presents a noise-robust super-resolution algorithm. In learning phase, a dictionary classified according to noise level is constructed, and then a high-resolution image is synthesized using the dictionary in the inference phase. Experimental results show that the proposed algorithm outperforms the existing algorithms even for noisy images.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE International Symposium on Consumer Electronics (ISCE 2010)

自引率

0.00%

发文量