DocumentCode :
2604621
Title :
Simple and Efficient Colorization in YCbCr Color Space
Author :
Noda, Hideki ; Niimi, Michiharu ; Korekuni, Jin
Author_Institution :
Dept. of Syst. Innovation & Informatics, Kyushu Inst. of Technol., Iizuka
Volume :
3
fYear :
0
fDate :
0-0 0
Firstpage :
685
Lastpage :
688
Abstract :
We have already proposed a colorization method in RGB color space, where the colorization problem is formulated as the maximum a posteriori (MAP) estimation of a color image given a monochrome image. Markov random field (MRF) is used for modeling a color image which is utilized as a prior for the MAP estimation. In this paper, a colorization method in YCbCr space is presented, which is derived by the same formulation as in RGB color space. The presented method in YCbCr space is much simpler than that in RGB space and requires much less computation time: about one fourth of computation time in RGB space. As for quality of estimated color image, both methods in YCbCr and RGB space produce color images with comparable PSNR values
Keywords :
Markov processes; image colour analysis; maximum likelihood estimation; random processes; Markov random field; YCbCr color space; colorization; maximum a posteriori estimation; Color; Image segmentation; Informatics; Markov random fields; Motion pictures; PSNR; Pixel; Software tools; Space technology; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.1053
Filename :
1699618
Link To Document :
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