M. Gafsi, Nessrine Abbassi, Rim Amdouni, Mohamed Ali Hajjaji, A. Mtibaa
{"title":"Hardware implementation of the Haar 2D discrete wavelet transform with an application to image watermarking","authors":"M. Gafsi, Nessrine Abbassi, Rim Amdouni, Mohamed Ali Hajjaji, A. Mtibaa","doi":"10.1109/IC_ASET53395.2022.9765864","DOIUrl":null,"url":null,"abstract":"This paper presents a hardware implementation of the lifting 2D discrete wavelet transform of Haar for real-time image applications. The hardware architecture is designed using Xilinx System Generator software. Then, it is implemented on the FPGA-ZYNQ ZC 020 which results in low resources utilization and high performance. In FPGA-ZYNQ, the proposed hardware 2D DWT of Haar can achieve a frequency of 271.37 MHz with a throughput of 8683.84 Mbps. In addition, an application of the hardware lifting 2D DWT of Haar for image watermarking is presented. The algorithm inserts a binary watermark in the high-frequency band HL after two-level of the wavelet decomposition. The experimental results show good results.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"19 1","pages":"324-329"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC_ASET53395.2022.9765864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents a hardware implementation of the lifting 2D discrete wavelet transform of Haar for real-time image applications. The hardware architecture is designed using Xilinx System Generator software. Then, it is implemented on the FPGA-ZYNQ ZC 020 which results in low resources utilization and high performance. In FPGA-ZYNQ, the proposed hardware 2D DWT of Haar can achieve a frequency of 271.37 MHz with a throughput of 8683.84 Mbps. In addition, an application of the hardware lifting 2D DWT of Haar for image watermarking is presented. The algorithm inserts a binary watermark in the high-frequency band HL after two-level of the wavelet decomposition. The experimental results show good results.