A low-complexity interleaved image wavelet transform architecture for a visual sensor node

L. M. Ang*, L. S. Yeong, K. P. Seng

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

We present a low-complexity architecture to perform a wavelet subband decomposition on an image captured from a visual sensor. The input into the architecture is a dynamic stream of image data from the visual sensor. The subband coefficients are computed on-the-fly as the data flow through the architecture. The output from the architecture is a stream of interleaved subband coefficients. A 160×120 image pixels architecture to perform three scales of subband decomposition has been synthesized and implemented on a Xilinx FPGA utilizing a chip area of 940 Slices.

Original languageEnglish
Title of host publication2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
PublisherIEEE Computer Society
Pages1767-1770
Number of pages4
ISBN (Print)1424406056, 9781424406050
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 - Guangzhou, China
Duration: 3 Oct 20066 Oct 2006

Publication series

Name2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Volume2

Conference

Conference2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Country/TerritoryChina
CityGuangzhou
Period3/10/066/10/06

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