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