Dazhi Zhan, Xiangrong Zeng, Weili Li, Yu Liu, Z. Xiong
{"title":"基于简单透镜系统的微光图像去模糊","authors":"Dazhi Zhan, Xiangrong Zeng, Weili Li, Yu Liu, Z. Xiong","doi":"10.1109/ICVRV.2017.00047","DOIUrl":null,"url":null,"abstract":"A method for image quality enhancement of simple lens image under low-illumination condition is presented in this paper. We first introduce an accurate camera-scene alignment framework that generates exactly matched and tone-consistent image pairs to estimate blur kernel. We then use the cross-channel matrix obtained in the tone curve calibration to restore the details of the blurred image. Finally, the clear image is restored by non-blind deconvolution and compared with other methods to prove the advantages of our method.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low-Light Image Deblurring Based on Simple Lens System\",\"authors\":\"Dazhi Zhan, Xiangrong Zeng, Weili Li, Yu Liu, Z. Xiong\",\"doi\":\"10.1109/ICVRV.2017.00047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for image quality enhancement of simple lens image under low-illumination condition is presented in this paper. We first introduce an accurate camera-scene alignment framework that generates exactly matched and tone-consistent image pairs to estimate blur kernel. We then use the cross-channel matrix obtained in the tone curve calibration to restore the details of the blurred image. Finally, the clear image is restored by non-blind deconvolution and compared with other methods to prove the advantages of our method.\",\"PeriodicalId\":187934,\"journal\":{\"name\":\"2017 International Conference on Virtual Reality and Visualization (ICVRV)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Virtual Reality and Visualization (ICVRV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVRV.2017.00047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRV.2017.00047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low-Light Image Deblurring Based on Simple Lens System
A method for image quality enhancement of simple lens image under low-illumination condition is presented in this paper. We first introduce an accurate camera-scene alignment framework that generates exactly matched and tone-consistent image pairs to estimate blur kernel. We then use the cross-channel matrix obtained in the tone curve calibration to restore the details of the blurred image. Finally, the clear image is restored by non-blind deconvolution and compared with other methods to prove the advantages of our method.