A grayscale image color transfer method based on region texture analysis using GLCM

Yuanmeng Zhao; Lingxue Wang; Weiqi Jin; Yuan Luo; Jiakun Li

doi:10.1117/12.901237

A grayscale image color transfer method based on region texture analysis using GLCM

Yuanmeng Zhao^*, Lingxue Wang, Weiqi Jin, Yuan Luo, Jiakun Li

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In order to improve the performance of grayscale image colorization based on color transfer, this paper proposes a novel method by which pixels are matched accurately between images through region texture analysis using Gray Level Co-occurrence Matrix (GLCM). This method consists of six steps: reference image selection, color space transformation, grayscale linear transformation and compression, texture analysis using GLCM, pixel matching through texture value comparison, and color value transfer between pixels. We applied this method to kinds of grayscale images, and they gained natural color appearance like the reference images. Experimental results proved that this method is more effective than conventional method in accurately transferring color to grayscale images.

Original language	English
Title of host publication	International Symposium on Photoelectronic Detection and Imaging 2011
Subtitle of host publication	Advances in Infrared Imaging and Applications
DOIs	https://doi.org/10.1117/12.901237
Publication status	Published - 2011
Event	International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications - Beijing, China Duration: 24 May 2011 → 24 May 2011

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8193
ISSN (Print)	0277-786X

Conference

Conference	International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Country/Territory	China
City	Beijing
Period	24/05/11 → 24/05/11

Keywords

Grayscale image colorization
color transfer
gray level co-occurrence matrix
texture analysis

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10.1117/12.901237

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Zhao, Y., Wang, L., Jin, W., Luo, Y., & Li, J. (2011). A grayscale image color transfer method based on region texture analysis using GLCM. In International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications Article 81934F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8193). https://doi.org/10.1117/12.901237

@inproceedings{44c6b63ab1164f8ca75c775821251810,

title = "A grayscale image color transfer method based on region texture analysis using GLCM",

abstract = "In order to improve the performance of grayscale image colorization based on color transfer, this paper proposes a novel method by which pixels are matched accurately between images through region texture analysis using Gray Level Co-occurrence Matrix (GLCM). This method consists of six steps: reference image selection, color space transformation, grayscale linear transformation and compression, texture analysis using GLCM, pixel matching through texture value comparison, and color value transfer between pixels. We applied this method to kinds of grayscale images, and they gained natural color appearance like the reference images. Experimental results proved that this method is more effective than conventional method in accurately transferring color to grayscale images.",

keywords = "Grayscale image colorization, color transfer, gray level co-occurrence matrix, texture analysis",

author = "Yuanmeng Zhao and Lingxue Wang and Weiqi Jin and Yuan Luo and Jiakun Li",

year = "2011",

doi = "10.1117/12.901237",

language = "English",

isbn = "9780819488343",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "International Symposium on Photoelectronic Detection and Imaging 2011",

note = "International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications ; Conference date: 24-05-2011 Through 24-05-2011",

}

Zhao, Y, Wang, L, Jin, W, Luo, Y & Li, J 2011, A grayscale image color transfer method based on region texture analysis using GLCM. in International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications., 81934F, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, Beijing, China, 24/05/11. https://doi.org/10.1117/12.901237

A grayscale image color transfer method based on region texture analysis using GLCM. / Zhao, Yuanmeng; Wang, Lingxue; Jin, Weiqi et al.
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications. 2011. 81934F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8193).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A grayscale image color transfer method based on region texture analysis using GLCM

AU - Zhao, Yuanmeng

AU - Wang, Lingxue

AU - Jin, Weiqi

AU - Luo, Yuan

AU - Li, Jiakun

PY - 2011

Y1 - 2011

N2 - In order to improve the performance of grayscale image colorization based on color transfer, this paper proposes a novel method by which pixels are matched accurately between images through region texture analysis using Gray Level Co-occurrence Matrix (GLCM). This method consists of six steps: reference image selection, color space transformation, grayscale linear transformation and compression, texture analysis using GLCM, pixel matching through texture value comparison, and color value transfer between pixels. We applied this method to kinds of grayscale images, and they gained natural color appearance like the reference images. Experimental results proved that this method is more effective than conventional method in accurately transferring color to grayscale images.

AB - In order to improve the performance of grayscale image colorization based on color transfer, this paper proposes a novel method by which pixels are matched accurately between images through region texture analysis using Gray Level Co-occurrence Matrix (GLCM). This method consists of six steps: reference image selection, color space transformation, grayscale linear transformation and compression, texture analysis using GLCM, pixel matching through texture value comparison, and color value transfer between pixels. We applied this method to kinds of grayscale images, and they gained natural color appearance like the reference images. Experimental results proved that this method is more effective than conventional method in accurately transferring color to grayscale images.

KW - Grayscale image colorization

KW - color transfer

KW - gray level co-occurrence matrix

KW - texture analysis

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U2 - 10.1117/12.901237

DO - 10.1117/12.901237

M3 - Conference contribution

AN - SCOPUS:80053649174

SN - 9780819488343

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - International Symposium on Photoelectronic Detection and Imaging 2011

T2 - International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications

Y2 - 24 May 2011 through 24 May 2011

ER -

A grayscale image color transfer method based on region texture analysis using GLCM

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