Colorization for Gray Scale Facial Image by Locality-Constrained Linear Coding

Colorization for gray scale facial image is an important technique in various practical applications. However, the methods that have been proposed are essentially semi-automatic. In this paper, we present a new probabilistic framework based on Maximum A Posteriori (MAP) estimation to automatically transform the given gray scale facial image to corresponding color one. Firstly, the input image is divided into several patches and non-parametric Markov random field (MRF) is employed to formulate the global energy. Secondly, Locality-constrained Linear Coding (LLC) is employed to learn the color distribution for each patch. At the same time, the simulated annealing algorithm is employed to iteratively update the patches chosen by LLC to optimize the MRF by decreasing global energy cost. The experimental results demonstrate that the proposed framework is effective to colorize the gray scale facial images to corresponding color ones.

[1]  Karol Myszkowski,et al.  Apparent Greyscale: A Simple and Fast Conversion to Perceptually Accurate Images and Video , 2008, Comput. Graph. Forum.

[2]  Reiner Eschbach,et al.  Spatial Color-to-Grayscale Transform Preserving Chrominance Edge Information , 2004, CIC.

[3]  Steven Fortune,et al.  Numerical stability of algorithms for 2-d Delaunay triangulations , 1995, Int. J. Comput. Geom. Appl..

[4]  Bruce Gooch,et al.  Color2Gray: salience-preserving color removal , 2005, SIGGRAPH 2005.

[5]  Alexei A. Efros,et al.  Texture synthesis by non-parametric sampling , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[6]  Sudeep D. Thepade,et al.  Color Traits Transfer to Grayscale Images , 2008, 2008 First International Conference on Emerging Trends in Engineering and Technology.

[7]  Dani Lischinski,et al.  Colorization using optimization , 2004, SIGGRAPH 2004.

[8]  Chun Chen,et al.  Image-based facial sketch-to-photo synthesis via online coupled dictionary learning , 2012, Inf. Sci..

[9]  L. Farkas.  Anthropometry of the head and face , 1994 .

[10]  Yihong Gong,et al.  Nonlinear Learning using Local Coordinate Coding , 2009, NIPS.

[11]  Wilson Markle.  The Development and Application of Colorization , 1984 .

[12]  Guillermo Sapiro,et al.  Fast image and video colorization using chrominance blending , 2006, IEEE Transactions on Image Processing.

[13]  Rajat Raina,et al.  Efficient sparse coding algorithms , 2006, NIPS.

[14]  Yihong Gong,et al.  Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[15]  Takahiko Horiuchi,et al.  Colorization algorithm for grayscale image by propagating seed pixels , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[16]  Klaus Mueller,et al.  Transferring color to greyscale images , 2002, ACM Trans. Graph..