Paper Info
Title
FPGA-based Smart Camera for 3D wavelet-based image segmentation.
Abstract
In recent years hardware implementation of the wavelet transform for image processing has gathered significant attention. The wavelet transform is a promising tool for image processing and in particular for image compression and image segmentation.In this paper the 3D wavelet transform is used to detect moving objects or object groups as regions of interest (ROI). We propose a hardware implementation of the 2D wavelet transform, including PAL/NTSC video grabbing and Ethernet interface. It requires a low density FPGA board like V2PRO, while the 3D wavelet transform needs slightly more internal memory.Careful selection of those subbands which contain important coefficients reduces the computing power and memory requirements for video segmentation and movement detection. In addition, using the ROI mask the network transfer rate can be reduced significantly. The design is called Smart Camera because it delivers processed images instead of original ones.
Year
DOI
Venue
2008
10.1109/ICDSC.2008.4635720
ICDSC
Keywords
Field
DocType
data compression,field programmable gate arrays,image coding,image segmentation,image sensors,wavelet transforms,2D wavelet transform,3D wavelet transform,3D wavelet-based image segmentation,Ethernet interface,FPGA-based smart camera,PAL-NTSC video grabbing,V2PRO,image compression,image processing,3D Wavelet Transform,FPGA,Image Segmentation,Multiresolution,Smart Camera
Computer vision,Lifting scheme,Computer science,Image processing,Second-generation wavelet transform,Image segmentation,Artificial intelligence,Wavelet packet decomposition,Curvelet,Wavelet transform,Wavelet
Conference
Citations 
PageRank 
References 
1
0.37
0
Authors
4
Name
Order
Citations
PageRank
Mohammed Abdel-Megeed Salem120.73
Markus Appel210.70
Frank Winkler3369.50
Beate Meffert423.84