DocumentCode :
598148
Title :
Image colorization based on the mixed l0/l1 norm minimization
Author :
Uruma, Kazunori ; Konishi, Katsumi ; Takahashi, Tatsuro ; Furukawa, Toshihiro
Author_Institution :
Grad. Sch. of Eng., Tokyo Univ. of Sci., Tokyo, Japan
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2113
Lastpage :
2116
Abstract :
This paper proposes a new image colorization algorithm based on the mixed L0/L1 norm minimization. Introducing some assumptions, a problem of recovering a color image from a grayscale image with the small number of known color pixels is formulated as a mixed L0/L1 norm minimization, which is solved approximately by an iterative reweighted least squares (IRLS) algorithm. Numerical examples show that the proposed algorithm colorizes a grayscale image well using a small number of color pixels.
Keywords :
image colour analysis; iterative methods; least squares approximations; color image recovery; grayscale image; image colorization; iterative reweighted least squares algorithm; mixed L0/L1 norm minimization; Color; Gray-scale; Image color analysis; Matrix converters; Minimization; TV; Vectors; image colorization; image restoration; matrix completion; sparse optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467309
Filename :
6467309
Link To Document :
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