{"title":"Hardware efficient implementation of video capsule endoscopy","authors":"A. Darji, E. Nijin","doi":"10.1109/GCCE.2014.7031332","DOIUrl":null,"url":null,"abstract":"In this paper, we propose hardware efficient implementation of lifting based 2-D DWT and Sobel based edge detector for detail diagnosis in Wireless capsule endoscopy (WCE) in real-time. Architecture is developed based on the properties of the endoscopic images and the CMOS sensors. Proposed edge detection scheme works on the compressed DWT coefficients and offers 83.1 % compression ratio (CR). VLSI implementation of the proposed scheme consumes only 17050 standard cells.","PeriodicalId":145771,"journal":{"name":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2014.7031332","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
In this paper, we propose hardware efficient implementation of lifting based 2-D DWT and Sobel based edge detector for detail diagnosis in Wireless capsule endoscopy (WCE) in real-time. Architecture is developed based on the properties of the endoscopic images and the CMOS sensors. Proposed edge detection scheme works on the compressed DWT coefficients and offers 83.1 % compression ratio (CR). VLSI implementation of the proposed scheme consumes only 17050 standard cells.
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