Title :
A Low-Complexity Interleaved Image Wavelet Transform Architecture for a Visual Sensor Node
Author :
Ang, L.-M. ; Yeong, L.S. ; Seng, K.P.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nottingham Univ., Selangor
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 160times120 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
Keywords :
discrete wavelet transforms; image coding; image sensors; 120 pixels; 160 pixels; image capture; image data; interleaved image wavelet transform architecture; subband coefficients; visual sensor node; wavelet subband decomposition; Computer architecture; Data flow computing; Discrete wavelet transforms; Filters; Hardware; Image sensors; Image storage; Streaming media; Surveillance; Wavelet transforms;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.295365
