Title :
Colorization based on piecewise autoregressive model
Author :
Nakajima, Yoshiki ; Ueno, Tomohiro ; Yoshida, Takafumi ; Ikehara, Masaaki
Author_Institution :
EEE Dept., Keio Univ., Yokohama, Japan
Abstract :
Colorization is a technique to produce color components for grayscale images with color assigned information provided by the user. The conventional method colorizes via propagating the assignations with weights of neighborhood pixels. In this paper, we propose the colorization method based on the piecewise auto-regressive (AR) model. The proposed method calculates weights considering taking account of an image structure, and improves objective and perceptual qualities of colorized images compared with the conventional method.
Keywords :
autoregressive processes; image colour analysis; AR model; color components; colorization method; grayscale images; image structure; neighborhood pixel weight; objective quality; perceptual quality; piecewise autoregressive model; Color; Gray-scale; Image color analysis; Indexes; Mathematical model; PSNR; Vectors; Autoregressive model; Colorization; Image processing; Interpolation;
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
DOI :
10.1109/ACSSC.2013.6810654
