Lifting Scheme DWT Implementation in a Wireless Vision Sensor Network

Authors:
Jia Jan Ong;L. -M. Ang;K. P. Seng
Affiliations:
The University of Nottingham Malaysia, Semenyih, Malaysia 43500;The University of Nottingham Malaysia, Semenyih, Malaysia 43500;The University of Nottingham Malaysia, Semenyih, Malaysia 43500
Venue:
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Year:
2009

Citing 3
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Abstract

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.