光学学报, 2019, 39 (4): 0412004, 网络出版: 2019-05-10   

多级离散小波变换的高效超大规模集成架构 下载: 1072次

Efficient Very Large Scale Integration Architecture of Multi-Level Discrete Wavelet Transform
作者单位
天津大学微电子学院, 天津 300072
摘要
设计了一种单时钟域内低级展开、高级折叠的多级离散小波变换架构;采用横向三输入扫描方式,基于9/7离散小波变换提升算法,设计第1级离散小波变换模块;根据第2级离散小波变换的时钟周期与有效输入数据之比,设计半折叠的第2级离散小波变换模块;将第3级及更高级的离散小波变换的架构折叠到第2级离散小波变换架构上,从而降低了硬件资源的消耗。结果表明:对于大小为512 pixel×512 pixel的经3级离散小波变换处理的输入图像,所提架构的硬件效率比其他现有架构提高了57.1%以上。
Abstract
A lower-level unfolded and higher-level folded multi-level discrete wavelet transform architecture in single-clock domain is proposed. A three-input line-based scanning method is adopted. The first-level discrete wavelet transform is designed based on the 9/7 discrete wavelet transform lifting scheme. The partially folded second-level discrete wavelet transform is constructed according to the ratio of clock cycles to valid input data. The third-level and higher-level discrete wavelet transform architectures are folded into the second-level discrete wavelet transform architecture to reduce the consumption of hardware resources. The results show that for the input image with size of 512 pixel×512 pixel processed by the three-level discrete wavelet transform, the hardware efficiency of the proposed architecture increases over 57.1% compared with the existing architectures.

张盼, 张为. 多级离散小波变换的高效超大规模集成架构[J]. 光学学报, 2019, 39(4): 0412004. Pan Zhang, Wei Zhang. Efficient Very Large Scale Integration Architecture of Multi-Level Discrete Wavelet Transform[J]. Acta Optica Sinica, 2019, 39(4): 0412004.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!