DocumentCode
1906445
Title
Advanced color image demosaicing in security imaging technology
Author
Dostal, Petr ; Klima, Milos
Author_Institution
Fac. of Electr. Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic
fYear
2010
fDate
5-8 Oct. 2010
Firstpage
434
Lastpage
442
Abstract
Image records are of extreme importance in the security technology. Recent color photographic cameras are mostly constructed in a single-chip sensor configuration and the color splitting structure is designed as a planar filter array, therefore some interpolation technique has to be used to compute full-color image. The final image quality is affected by selected interpolation technique. The applied interpolating algorithms are perceptually optimized but the security technology criteria are different. Four state-of-art interpolation techniques have been applied on the selected set of security image tests. After that the image quality has been evaluated by the group of observers and two different objective quality metrics (PSNR, SSIM) have been calculated for comparison. As security image tests, a human face has been chosen and test target has been partially covered by distracters (sunblind) and recorded under complex illumination conditions. Furthermore the influence of SNR is discussed and demonstrated.
Keywords
face recognition; image colour analysis; image segmentation; image sensors; interpolation; lighting; microprocessor chips; object detection; SNR; advanced color image demosaicing; color photographic cameras; color splitting structure; complex illumination; human face target; image quality; image record; interpolation technique; planar filter array; security imaging technology; single chip sensor configuration; Correlation; Image color analysis; Image quality; Image reconstruction; Interpolation; Pixel; Security; Bayer pattern; CFA; Demosaicing; image quality; mosaic image; security images;
fLanguage
English
Publisher
ieee
Conference_Titel
Security Technology (ICCST), 2010 IEEE International Carnahan Conference on
Conference_Location
San Jose, CA
ISSN
1071-6572
Print_ISBN
978-1-4244-7403-5
Type
conf
DOI
10.1109/CCST.2010.5678737
Filename
5678737
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