Efficient FPGA implementation of modified DWT for JPEG2000

Jie Guo, Keyan Wang, Chengke Wu, Yunsong Li
{"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.
基于JPEG2000的改进DWT的高效FPGA实现
在JPEG2000中设计了一种低内存、高流水线结构的离散小波变换(DWT)的高效实现方法。考虑到小波系数的动态范围有限,提出了一种基于不动点操作的整数到整数离散小波变换改进方案,有效地保留了提升步骤中系数的分数。该方案保证了DWT的计算精度,从而提高了压缩质量。从硬件角度提出了相应的基于线的FPGA提升方案。以并行的方式,可以按行和按列执行转换。在Xilinx Virtex-II FPGA上进行原型设计,所提出的架构需要更少的资源和内存访问,但达到更高的处理吞吐量。实验结果提供的参数如下:对于分辨率为1024×1024的图像,当DWT在65 MHz时钟下工作时,输入采样率高达6100万像素/秒。9/7过滤器只需要5行的内部内存来执行一级二维分解。多层DWT的完成是在图像按行顺序传输的时间T内完成的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信