Title :
Demosaicked image postprocessing using local color ratios
Author :
Lukac, Rastislav ; Martin, Karl ; Plataniotis, Konstantinos N.
Author_Institution :
Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada
fDate :
6/1/2004 12:00:00 AM
Abstract :
A postprocessing method for the correction of visual demosaicking artifacts is introduced. The restored, full-color images previously obtained by cost-effective color filter array interpolators are processed to improve their visual quality. Based on a localized color ratio model and the original underlying Bayer pattern structure, the proposed solution impressively removes false colors while maintaining image sharpness. At the same time, it yields excellent improvements in terms of objective image quality measures.
Keywords :
image colour analysis; image restoration; Bayer pattern structure; color filter array interpolator; demosaicked image postprocessing; full-color image; image quality; image sharpness; local color ratio; restored image; visual demosaicking artifact; visual quality; Color; Filters; Humans; Image quality; Image restoration; Interpolation; Personal digital assistants; Pixel; Sensor arrays; Time measurement; Bayer pattern; CFA; color artifact removing; color filter array; demosaicked image postprocessing; human visual system; interpolation; subjective evaluation;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
DOI :
10.1109/TCSVT.2004.828316
