Colorization Based Image Coding by Using Local Correlation between Luminance and Chrominance

Yoshitaka INOUE; Takamichi MIYATA; Yoshinori SAKAI

doi:10.1587/transinf.E95.D.247

Colorization Based Image Coding by Using Local Correlation between Luminance and Chrominance

Yoshitaka INOUE, Takamichi MIYATA, Yoshinori SAKAI

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Recently, a novel approach to color image compression based on colorization has been presented. The conventional method for colorization-based image coding tends to lose the local oscillation of chrominance components that the original images had. A large number of color assignments is required to restore these oscillations. On the other hand, previous studies suggest that an oscillation of a chrominance component correlates with the oscillation of a corresponding luminance component. In this paper, we propose a new colorization-based image coding method that utilizes the local correlation between texture components of luminance and chrominance. These texture components are obtained by a total variation regularized energy minimization method. The local correlation relationships are approximated by linear functions, and their coefficients are extracted by an optimization method. This key idea enables us to represent the oscillations of chrominance components by using only a few pieces of information. Experimental results showed that our method can restore the local oscillation and code images more efficiently than the conventional method, JPEG, or JPEG2000 at a high compression rate.

Publication: IEICE TRANSACTIONS on Information Vol.E95-D No.1 pp.247-255

Publication Date: 2012/01/01

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Online ISSN: 1745-1361

DOI: 10.1587/transinf.E95.D.247

Type of Manuscript: PAPER

Category: Image Processing and Video Processing

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Yoshitaka INOUE, Takamichi MIYATA, Yoshinori SAKAI, "Colorization Based Image Coding by Using Local Correlation between Luminance and Chrominance" in IEICE TRANSACTIONS on Information, vol. E95-D, no. 1, pp. 247-255, January 2012, doi: 10.1587/transinf.E95.D.247.
Abstract: Recently, a novel approach to color image compression based on colorization has been presented. The conventional method for colorization-based image coding tends to lose the local oscillation of chrominance components that the original images had. A large number of color assignments is required to restore these oscillations. On the other hand, previous studies suggest that an oscillation of a chrominance component correlates with the oscillation of a corresponding luminance component. In this paper, we propose a new colorization-based image coding method that utilizes the local correlation between texture components of luminance and chrominance. These texture components are obtained by a total variation regularized energy minimization method. The local correlation relationships are approximated by linear functions, and their coefficients are extracted by an optimization method. This key idea enables us to represent the oscillations of chrominance components by using only a few pieces of information. Experimental results showed that our method can restore the local oscillation and code images more efficiently than the conventional method, JPEG, or JPEG2000 at a high compression rate.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E95.D.247/_p

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@ARTICLE{e95-d_1_247,
author={Yoshitaka INOUE, Takamichi MIYATA, Yoshinori SAKAI, },
journal={IEICE TRANSACTIONS on Information},
title={Colorization Based Image Coding by Using Local Correlation between Luminance and Chrominance},
year={2012},
volume={E95-D},
number={1},
pages={247-255},
abstract={Recently, a novel approach to color image compression based on colorization has been presented. The conventional method for colorization-based image coding tends to lose the local oscillation of chrominance components that the original images had. A large number of color assignments is required to restore these oscillations. On the other hand, previous studies suggest that an oscillation of a chrominance component correlates with the oscillation of a corresponding luminance component. In this paper, we propose a new colorization-based image coding method that utilizes the local correlation between texture components of luminance and chrominance. These texture components are obtained by a total variation regularized energy minimization method. The local correlation relationships are approximated by linear functions, and their coefficients are extracted by an optimization method. This key idea enables us to represent the oscillations of chrominance components by using only a few pieces of information. Experimental results showed that our method can restore the local oscillation and code images more efficiently than the conventional method, JPEG, or JPEG2000 at a high compression rate.},
keywords={},
doi={10.1587/transinf.E95.D.247},
ISSN={1745-1361},
month={January},}

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TY - JOUR
TI - Colorization Based Image Coding by Using Local Correlation between Luminance and Chrominance
T2 - IEICE TRANSACTIONS on Information
SP - 247
EP - 255
AU - Yoshitaka INOUE
AU - Takamichi MIYATA
AU - Yoshinori SAKAI
PY - 2012
DO - 10.1587/transinf.E95.D.247
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2012
AB - Recently, a novel approach to color image compression based on colorization has been presented. The conventional method for colorization-based image coding tends to lose the local oscillation of chrominance components that the original images had. A large number of color assignments is required to restore these oscillations. On the other hand, previous studies suggest that an oscillation of a chrominance component correlates with the oscillation of a corresponding luminance component. In this paper, we propose a new colorization-based image coding method that utilizes the local correlation between texture components of luminance and chrominance. These texture components are obtained by a total variation regularized energy minimization method. The local correlation relationships are approximated by linear functions, and their coefficients are extracted by an optimization method. This key idea enables us to represent the oscillations of chrominance components by using only a few pieces of information. Experimental results showed that our method can restore the local oscillation and code images more efficiently than the conventional method, JPEG, or JPEG2000 at a high compression rate.
ER -