TY - GEN
T1 - Lifting scheme DWT implementation in a wireless vision sensor network
AU - Ong, Jia Jan
AU - Ang, L. M.
AU - Seng, K. P.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Discrete Wavelet Transform (DWT)
KW - Wireless Sensor Network (WSN)
KW - Wireless Visual Sensor Network (WVSN)
UR - http://www.scopus.com/inward/record.url?scp=76549105823&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-05036-7_59
DO - 10.1007/978-3-642-05036-7_59
M3 - Conference Proceeding
AN - SCOPUS:76549105823
SN - 3642050352
SN - 9783642050350
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 627
EP - 635
BT - Visual Informatics
T2 - 1st International Visual Informatics Conference, IVIC 2009
Y2 - 11 November 2009 through 13 November 2009
ER -