DocumentCode :
2601436
Title :
High-speed line-scan camera with multi-line CMOS color sensor
Author :
Bodenstorfer, Ernst ; Hasani, Ylber ; Fürtler, Johannes ; Brodersen, Jörg ; Mayer, Konrad J.
Author_Institution :
AIT Austrian Inst. of Technol. GmbH, Seibersdorf, Austria
fYear :
2012
fDate :
16-21 June 2012
Firstpage :
9
Lastpage :
14
Abstract :
A new camera technology for high-speed color scanning is presented that is based on a novel multi-line CMOS color image sensor. A pixel matrix consisting of multiple red-, green-, and blue-sensitive lines allows acquisition of dense RGB color information at every pixel location including the possibility of improving the signal to noise ratio by summing up multiple exposures in the analog domain of the chip. Therefore, compared to common cameras with Bayer filters, the acquired image data are more robust against color artifacts like Moiré effects. Consequently, images with good quality are possible even at high object speeds, where lighting power may become limiting otherwise. This work describes an algorithm for improving low-light image quality by accumulating multiple exposures acquired by a multi-line color pixel matrix. Furthermore it is shown how this algorithm´s implementation is effectively split up into an FPGA part and an image sensor part. Finally, the increase of responsivity due to this algorithm is shown, which is regarded as a key requisite for implementing high-speed cameras.
Keywords :
CMOS image sensors; field programmable gate arrays; image colour analysis; Bayer filters; FPGA; Moire effects; blue-sensitive lines; color artifacts robustness; dense RGB color information acquisition; green-sensitive lines; high-speed color scanning; high-speed line-scan camera; image data; low-light image quality improvement; multiline CMOS color image sensor; multiline color pixel matrix; multiple exposures accumulation; pixel location; red-sensitive lines; signal to noise ratio; CMOS integrated circuits; Cameras; Colored noise; Delay; Field programmable gate arrays; Image color analysis; Image sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on
Conference_Location :
Providence, RI
ISSN :
2160-7508
Print_ISBN :
978-1-4673-1611-8
Electronic_ISBN :
2160-7508
Type :
conf
DOI :
10.1109/CVPRW.2012.6238888
Filename :
6238888
Link To Document :
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