DocumentCode :
1605007
Title :
Demosaicked image postprocessing framework
Author :
Lukac, Rastislav ; Martin, Karl ; Plataniotis, Konstantinos N.
Author_Institution :
Bell Canada Multimedia Lab., Univ. of Toronto, Ont., Canada
Volume :
2
fYear :
2004
Firstpage :
863
Abstract :
A new demosaicked image postprocessing method for single-sensor imaging devices is introduced. The method is capable of removing visual demosaicking artifacts in the restored, full color images obtained by cost-effective color filter array interpolators. The utilization of the normalized color-ratio model and the original underlying Bayer pattern structure allows for the removal of false colors and eliminates color shifts introduced during demosaicking. At the same time, it yields excellent improvements in terms of objective image quality measures. Moreover, the computational simplicity of the method suggests that it can be effectively implemented either in hardware or software.
Keywords :
image colour analysis; image restoration; image segmentation; image sensors; interpolation; optical filters; Bayer pattern structure; color filter array interpolators; color shift elimination; computational simplicity; demosaicked image postprocessing; false color removal; full color image restoration; normalized color-ratio model; objective image quality measures; single-sensor imaging devices; visual demosaicking artifacts; Color; Educational institutions; Filters; Hardware; Image quality; Image restoration; Laboratories; Personal digital assistants; Sensor arrays; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
ISSN :
0840-7789
Print_ISBN :
0-7803-8253-6
Type :
conf
DOI :
10.1109/CCECE.2004.1345251
Filename :
1345251
Link To Document :
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