{"title":"一种用于图像超分辨率的色彩调整卷积神经网络","authors":"Jong Hyeong Kim, J. Jang, K. Jang","doi":"10.23919/ELINFOCOM.2018.8330694","DOIUrl":null,"url":null,"abstract":"In this paper, we propose superresolution convolutional neural network with color adjustment layer to obtain high quality images. We added a color adjustment layer to the last convolutional neural network layer to correct the color error.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A color adjustment convolutional neural network for image superresolution\",\"authors\":\"Jong Hyeong Kim, J. Jang, K. Jang\",\"doi\":\"10.23919/ELINFOCOM.2018.8330694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose superresolution convolutional neural network with color adjustment layer to obtain high quality images. We added a color adjustment layer to the last convolutional neural network layer to correct the color error.\",\"PeriodicalId\":413646,\"journal\":{\"name\":\"2018 International Conference on Electronics, Information, and Communication (ICEIC)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Electronics, Information, and Communication (ICEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ELINFOCOM.2018.8330694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ELINFOCOM.2018.8330694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A color adjustment convolutional neural network for image superresolution
In this paper, we propose superresolution convolutional neural network with color adjustment layer to obtain high quality images. We added a color adjustment layer to the last convolutional neural network layer to correct the color error.