{"title":"基于深度学习的图像拼接","authors":"Yongjun Zhang, Xueqing Wang","doi":"10.1117/12.2682403","DOIUrl":null,"url":null,"abstract":"An efficient unsupervised deep learning image stitching algorithm using YOLOv5. The method uses a feature pyramid structure for homography and non-local blocks combined with reconstruction for image fusion. Simulation experiments show that the PSNR and SSIM of the method are significantly improved. The artifacts are significantly reduced.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Image stitching based on deep learning\",\"authors\":\"Yongjun Zhang, Xueqing Wang\",\"doi\":\"10.1117/12.2682403\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An efficient unsupervised deep learning image stitching algorithm using YOLOv5. The method uses a feature pyramid structure for homography and non-local blocks combined with reconstruction for image fusion. Simulation experiments show that the PSNR and SSIM of the method are significantly improved. The artifacts are significantly reduced.\",\"PeriodicalId\":177416,\"journal\":{\"name\":\"Conference on Electronic Information Engineering and Data Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference on Electronic Information Engineering and Data Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2682403\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Electronic Information Engineering and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2682403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient unsupervised deep learning image stitching algorithm using YOLOv5. The method uses a feature pyramid structure for homography and non-local blocks combined with reconstruction for image fusion. Simulation experiments show that the PSNR and SSIM of the method are significantly improved. The artifacts are significantly reduced.
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