{"title":"Efficient FPGA implementation of modified DWT for JPEG2000","authors":"Jie Guo, Keyan Wang, Chengke Wu, Yunsong Li","doi":"10.1109/ICSICT.2008.4735007","DOIUrl":null,"url":null,"abstract":"An efficient implementation of discrete wavelet transform (DWT) in JPEG2000 is designed with low memory and high pipeline architecture. Considering the limited dynamic range of wavelet coefficients, a modified scheme of integer-to-integer discrete wavelet transform based on fixed-point manipulation is proposed by preserving efficiently fractions of coefficients in lifting steps. This scheme ensures higher computational precision in DWT and accordingly improves the compression quality. The corresponding line-based FPGA lifting scheme is put forward from hardware perspective. In a parallel way, transform can be row-wise and column-wise executed. Prototyped onto Xilinx Virtex-II FPGA, the proposed architecture requires fewer resources and memory accesses, but reaches a higher processing throughput. Experimental results provide parameters as follows. For an image with resolution 1024×1024, the inputting sampling is up to 61 Mpixels/s when DWT is working at the clock of 65 MHz. Internal memory of only 5 rows is required for the 9/7 filter to perform one-level 2-D decomposition. The completion of multi-level DWT is within the time T that an image is transmitted in line order.","PeriodicalId":436457,"journal":{"name":"2008 9th International Conference on Solid-State and Integrated-Circuit Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 9th International Conference on Solid-State and Integrated-Circuit Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSICT.2008.4735007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
An efficient implementation of discrete wavelet transform (DWT) in JPEG2000 is designed with low memory and high pipeline architecture. Considering the limited dynamic range of wavelet coefficients, a modified scheme of integer-to-integer discrete wavelet transform based on fixed-point manipulation is proposed by preserving efficiently fractions of coefficients in lifting steps. This scheme ensures higher computational precision in DWT and accordingly improves the compression quality. The corresponding line-based FPGA lifting scheme is put forward from hardware perspective. In a parallel way, transform can be row-wise and column-wise executed. Prototyped onto Xilinx Virtex-II FPGA, the proposed architecture requires fewer resources and memory accesses, but reaches a higher processing throughput. Experimental results provide parameters as follows. For an image with resolution 1024×1024, the inputting sampling is up to 61 Mpixels/s when DWT is working at the clock of 65 MHz. Internal memory of only 5 rows is required for the 9/7 filter to perform one-level 2-D decomposition. The completion of multi-level DWT is within the time T that an image is transmitted in line order.