Share Email Print

Proceedings Paper

A DSP implementation of lifting based DWT for image processing applications
Author(s): Morteza Gholipour; Hossein Ahmadi Noubari; Mahmoud Kamarei
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Discrete Wavelet Transform (DWT) is widely used in signal processing applications. In this paper, we describe hardware implementation of a lifting-based DWT, which is used in image compression. The CDF(2,2) lifting-based wavelet transform is modeled and simulated using MATLAB. Based on DSP methodologies, the signal flow graph and dependence graph are derived. The dependence graph is optimized and used to implement the hardware description of the circuit in Verilog. We have synthesized and implemented the circuit using both Field Programmable Gate Array (FPGA) and Application Specific Integrated Circuit (ASIC) design approaches. To confirm the circuit operation, post-synthesis and post-layout simulations were done for FPGA and ASIC designs, respectively.

Paper Details

Date Published: 1 October 2011
PDF: 10 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828545 (1 October 2011); doi: 10.1117/12.913246
Show Author Affiliations
Morteza Gholipour, Univ. of Tehran (Iran, Islamic Republic of)
Hossein Ahmadi Noubari, Univ. of British Columbia (Canada)
Mahmoud Kamarei, Univ. of Tehran (Iran, Islamic Republic of)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

© SPIE. Terms of Use
Back to Top