Novel DWT/IDWT Architecture for 3D with Nine Stage 2D Parallel Processing using Split Distributed Arithmetic

Author:

Divakara S. S.1,Patilkulkarni Sudarshan2,Raj Cyril Prasanna3

Affiliation:

1. Coorg Institute of Technology, Ponnampet, Kodagu 571216, Karnataka, India

2. JSS Science and Technology University, Mysore, Karnataka 570006, India

3. M. S. College of Engineering, Bangalore, Karnataka 562110, India

Abstract

Novel high-speed memory optimized distributed arithmetic (DA)-based architecture is developed and modeled for 3D discrete wavelet transform (DWT). The memory requirement for the proposed architecture is designed to [Formula: see text] pixel dynamic memory space and [Formula: see text] ROM. The proposed 3D-DWT architecture implements 9/7 Daubechies wavelet filters, synthesizes 7127 bytes of memory for temporary storage and uses 758 adders, 36 multiplexers of 16:1 and 36 up counter to realize the 3D-DWT hardware. The 3D-DWT engine is implemented and tested in a Xilinx FPGA Vertex5 XC5VLX155T with high area and power efficiency. The maximum delay in the timing path is 2.676[Formula: see text]ns and the 3D-DWT works at maximum frequency of 381[Formula: see text]MHz clock.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Optimization in Conventional Shift &Add Multiplier for Area-Efficient Implementation on FPGA;2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC);2022-12-07

2. Savitzky Golay and KPCA based Optimal Discrete Wavelet Transform Architecture for Image Compression;Microprocessors and Microsystems;2022-06

3. A hybrid deep learning approach for skin cancer diagnosis using subband fusion of 3D wavelets;The Journal of Supercomputing;2022-03-03

4. Memory-efficient architecture for FrWF-based DWT of high-resolution images for IoMT applications;Multimedia Tools and Applications;2021-01-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3