{"title":"An efficient FPGA implementation of AVMF filter using High-Level Synthesis","authors":"A. Atitallah, I. Abid","doi":"10.1109/STA50679.2020.9329336","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient High-Level Synthesis (HLS) hardware architecture for a floating-point implementation of the AVMF filter using SQRT function. The Vivado HLS tool was used to develop several solutions by adding incrementally various directives to the C code. The validation of our HLS design was realized on the Zedboard platform using a Hardware/Software (HW/SW) environment to estimate the performance. The simulation results prove that the HW/SW design was improved by more than 75% in terms of processing time compared to the SW solution with same image quality.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STA50679.2020.9329336","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 presents an efficient High-Level Synthesis (HLS) hardware architecture for a floating-point implementation of the AVMF filter using SQRT function. The Vivado HLS tool was used to develop several solutions by adding incrementally various directives to the C code. The validation of our HLS design was realized on the Zedboard platform using a Hardware/Software (HW/SW) environment to estimate the performance. The simulation results prove that the HW/SW design was improved by more than 75% in terms of processing time compared to the SW solution with same image quality.