Lifting scheme DWT implementation in a wireless vision sensor network

Jia Jan Ong, L. M. Ang, K. P. Seng

Research output: Book chapter/Published conference paperConference paperpeer-review

2 Citations (Scopus)


This paper presents the practical implementation of a Wireless Visual Sensor Network (WVSN) with DWT processing on the visual nodes. WVSN consists of visual nodes that capture video and transmit to the base-station without processing. Limitation of network bandwidth restrains the implementation of real time video streaming from remote visual nodes through wireless communication. Three layers of DWT filters are implemented to process the captured image from the camera. With having all the wavelet coefficients produced, it is possible just to transmit the low frequency band coefficients and obtain an approximate image at the base-station. This will reduce the amount of power required in transmission. When necessary, transmitting all the wavelet coefficients will produce the full detail of image, which is similar to the image captured at the visual nodes. The visual node combines the CMOS camera, Xilinx Spartan-3L FPGA and wireless ZigBee® network that uses the Ember EM250 chip.

Original languageEnglish
Title of host publicationVisual Informatics
Subtitle of host publicationBridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings
Number of pages9
Publication statusPublished - 01 Dec 2009
Event1st International Visual Informatics Conference, IVIC 2009 - Kuala Lumpur, Malaysia
Duration: 11 Nov 200913 Nov 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5857 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Visual Informatics Conference, IVIC 2009
CityKuala Lumpur

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