Paper Info
Title
Embedded image processing/compression for high-speed CMOS sensor
Abstract
High-speed video cameras are powerful tools for investigat- ing for instance the biomechanics analysis or the movements of mechanical parts in manufacturing processes. In the past years, the use of CMOS sensors instead of CCDs has made possible the development of high-speed video cameras of- fering digital outputs, readout flexibility and lower manufac- turing costs. In this paper, we proposed a high-speed cam- era based on CMOS sensor with embedded processing. Two types algorithms have been implemented. The compression algorithm represents the first class for our camera and allows to transfer images using serial output link. The second type is dedicated to feature extraction like edge detection, mark- ers extraction, or image analysis, wavelet analysis and object tracking. These image processing algorithms have been im- plemented into a FPGA embedded inside the camera. This FPGA technology allows us to process in real time 500 im- ages per second with a 1; 280H £ 1; 024V resolution.
Year
Venue
Keywords
2006
EUSIPCO
cmos image sensors,data compression,edge detection,feature extraction,field programmable gate arrays,image coding,object tracking,video cameras,wavelet transforms,fpga,biomechanics analysis,embedded image processing algorithm,high speed video camera,high-speed cmos sensor,image analysis,image compression algorithm,markers extraction,serial output link,wavelet analysis,cmos image sensor,high-speed video,image compression
Field
DocType
ISSN
Computer vision,Image sensor,Computer science,Image processing,Feature extraction,CMOS sensor,Video tracking,Artificial intelligence,Digital image processing,Image compression,Three-CCD camera
Conference
2219-5491
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Mosqueron, R.100.34
Julien Dubois214618.76
Michel Paindavoine311521.70