Efficient line-based architecture for 2-D discrete wavelet transform

Chengyi Xiong; Jinwen Tian; Jian Liu

doi:10.1117/1.2180227

1 March 2006 Efficient line-based architecture for 2-D discrete wavelet transform

Chengyi Xiong, Jinwen Tian, Jian Liu

Author Affiliations +

Optical Engineering, Vol. 45, Issue 3, 037004 (March 2006). https://doi.org/10.1117/1.2180227

Abstract

Efficient line-based very large scale integration architectures for the 2-D discrete wavelet transform (DWT) based on a lifting scheme, using the 9/7 wavelet filters adopted in the JPEG 2000 proposal, are proposed. The embedded decimation technique based on folding and time multiplexing was exploited to optimize the architecture, which reduces the size of buffer memory required and the amount of RAM access, and hence the occupied area and power consumption of the devices. Using this technique, a single-input, single-output architecture (SISOA) and a two-input, two-output architecture (TITOA) are proposed. The presented SISOA is designed to generate one output per clock cycle; the TITOA is designed to generate two outputs per clock cycle with the same memory requirement as that for SISOA, where the four subband coefficients of the transformed signal are available interleaved. Because only one line of data is required at a time, a single-port memory can be used. Performance analysis and comparison results demonstrate that the proposed method is economical of hardware cost and computation time. The advantages of the design also include short output latency, simple data flow, regularity, and scalability, as well as suitability for VLSI implementation.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Chengyi Xiong, Jinwen Tian, and Jian Liu "Efficient line-based architecture for 2-D discrete wavelet transform," Optical Engineering 45(3), 037004 (1 March 2006). https://doi.org/10.1117/1.2180227

Published: 1 March 2006

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available