{"title":"An efficient architecture for two-dimensional discrete wavelet transform","authors":"Po-Cheng Wu, Liang-Gee Chen","doi":"10.1109/VTSA.1999.786013","DOIUrl":null,"url":null,"abstract":"This paper proposes an efficient architecture for the two-dimensional discrete wavelet transform (2-D DWT). The proposed architecture includes a transform module, a RAM module, and a multiplexer. In the transform-module, we employ the polyphase decomposition technique to the decimation filters of stage 1, and the coefficient folding technique to the decimation filters of stage 2. The RAM size is N/2/spl times/N/2. In comparison with other 2-D DWT architectures, the advantages of the proposed architecture are the near 100% hardware utilization, fast computation time, regular data flow, and low complexity control circuit, making this architecture suitable for next generation image compression systems.","PeriodicalId":237214,"journal":{"name":"1999 International Symposium on VLSI Technology, Systems, and Applications. Proceedings of Technical Papers. (Cat. No.99TH8453)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"201","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 International Symposium on VLSI Technology, Systems, and Applications. Proceedings of Technical Papers. (Cat. No.99TH8453)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTSA.1999.786013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 201
Abstract
This paper proposes an efficient architecture for the two-dimensional discrete wavelet transform (2-D DWT). The proposed architecture includes a transform module, a RAM module, and a multiplexer. In the transform-module, we employ the polyphase decomposition technique to the decimation filters of stage 1, and the coefficient folding technique to the decimation filters of stage 2. The RAM size is N/2/spl times/N/2. In comparison with other 2-D DWT architectures, the advantages of the proposed architecture are the near 100% hardware utilization, fast computation time, regular data flow, and low complexity control circuit, making this architecture suitable for next generation image compression systems.