Large-scale image colorization based on divide-and-conquer support vector machines

Author:

Chen Bo-Wei,He Xinyu,Ji Wen,Rho Seungmin,Kung Sun-Yuan

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference27 articles.

1. Levin A, Lischinski D, Weiss Y (2004) Colorization using optimization. ACM Trans Graph 23(3):689–694

2. Yatziv L, Sapiro G (2005) Fast image and video colorization using chrominance blending. IEEE Trans Image Process 15(5):1120–1129

3. Charpiat G, Bezrukov I, Hofmann M, Altun Y, Schölkopf B (2010) Machine learning methods for automatic image colorization. In: Lukac R (ed) Computational photography: methods and applications. CRC Press, Boca Raton, pp 395–418

4. Sousa A, Kabirzadeh R, Blaes P (2014) Automatic colorization of grayscale images. Department of Electrical Engineering, Stanford University, Stanford, CA

5. Divide and conquer algorithms, Wikipedia, The Free Encyclopedia. http://en.wikipedia.org/wiki/Divide_and_conquer_algorithms . Accessed 16 Jan 2015

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