R. Prathipa, M. Premkumar, M. Arun, S. Sathiya Priya
{"title":"Removal of Specular Reflection on Handheld Camera Devices","authors":"R. Prathipa, M. Premkumar, M. Arun, S. Sathiya Priya","doi":"10.3233/apc210276","DOIUrl":null,"url":null,"abstract":"Handheld mobile devices are a dime a dozen in the industry, thanks to rapid technological advancements. However, none of the algorithms currently available on the market can remove reflections in a hand-held camera system in real time. Our Algorithm is intended to mitigate this loop as it is designed especially for smart phones, we’re taking two photos of the same goal here. One shot will be taken with the flashlight turned OFF, while the other will be taken with the flash turned ON. After that, we’ll perform a simple pre-processing phase called aligning the image, which involves extracting features. We will eventually get the final desired picture of good quality after all the planned operations are completed.","PeriodicalId":429440,"journal":{"name":"Recent Trends in Intensive Computing","volume":"208 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Trends in Intensive Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/apc210276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Handheld mobile devices are a dime a dozen in the industry, thanks to rapid technological advancements. However, none of the algorithms currently available on the market can remove reflections in a hand-held camera system in real time. Our Algorithm is intended to mitigate this loop as it is designed especially for smart phones, we’re taking two photos of the same goal here. One shot will be taken with the flashlight turned OFF, while the other will be taken with the flash turned ON. After that, we’ll perform a simple pre-processing phase called aligning the image, which involves extracting features. We will eventually get the final desired picture of good quality after all the planned operations are completed.