N. T. Sang, Vu Nguyen Binh, Truong Quang Vinh, Vu Duc Lung
{"title":"Real-time video enhancement on FPGA by self-enhancement technique","authors":"N. T. Sang, Vu Nguyen Binh, Truong Quang Vinh, Vu Duc Lung","doi":"10.1109/ATC.2015.7388417","DOIUrl":null,"url":null,"abstract":"This paper proposes two efficient methods along with a hardware structure for real-time video enhancement, which are specific for dedicated hardware platforms - where memory's size is limited and not totally suitable with an amount of complex computation. The presented approaches here rely on Self-enhancement technique and their important coefficients are suggested through a vast range of statistics that were made by systematically analyzing from implementations using Matlab. A hardware structure is, then, designed on FPGA based on the best proposed method. In order to demonstrate the quality of the proposed, a practical environment with a FPGA board and a real camera was also set up to evaluate. Such extensive experimental results indicate that both the proposed methods and hardware structure are effective, feasible and straightforward to apply into practice.","PeriodicalId":142783,"journal":{"name":"2015 International Conference on Advanced Technologies for Communications (ATC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Advanced Technologies for Communications (ATC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATC.2015.7388417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes two efficient methods along with a hardware structure for real-time video enhancement, which are specific for dedicated hardware platforms - where memory's size is limited and not totally suitable with an amount of complex computation. The presented approaches here rely on Self-enhancement technique and their important coefficients are suggested through a vast range of statistics that were made by systematically analyzing from implementations using Matlab. A hardware structure is, then, designed on FPGA based on the best proposed method. In order to demonstrate the quality of the proposed, a practical environment with a FPGA board and a real camera was also set up to evaluate. Such extensive experimental results indicate that both the proposed methods and hardware structure are effective, feasible and straightforward to apply into practice.