Regular Articles

Image colorization based on texture map

[+] Author Affiliations
Shiguang Liu

Tianjin University, School of Computer Science and Technology, 92 Weijin Road, Nankai District, Tianjin 300072, China

Xiang Zhang

Tianjin University, School of Computer Science and Technology, 92 Weijin Road, Nankai District, Tianjin 300072, China

J. Electron. Imaging. 22(1), 013011 (Jan 18, 2013). doi:10.1117/1.JEI.22.1.013011
History: Received May 3, 2012; Revised September 26, 2012; Accepted January 2, 2013
Text Size: A A A

Abstract.  Colorizing grayscale images so that the resulting image appears natural is a hard problem. Previous colorization algorithms generally use just the luminance information and ignore the rich texture information, which means that regions with the same luminance but different textures may mistakenly be assigned the same color. A novel automatic texture-map-based grayscale image colorization method is proposed. The texture map is generated with bilateral decomposition and a Gaussian high pass filter, which is further optimized using statistical adaptive gamma correction method. The segmentation of the spatial map is performed using locally weighted linear regression on its histogram in order to match the grayscale image and the source image. Within each of the spatial segmentation, a weighted color-luminance correspondence is achieved by the results of locally weighted linear regression. The luminance-color correspondence between the grayscale image and the source image can thus be used to colorize the grayscale image directly. By considering the consistency of both color information and texture information between two images, various plausible colorization results are generated using this new method.

Figures in this Article
© 2013 SPIE and IS&T

Citation

Shiguang Liu and Xiang Zhang
"Image colorization based on texture map", J. Electron. Imaging. 22(1), 013011 (Jan 18, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.1.013011


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.