Review on Different Methods of Image Colorization

Authors

  • Rohit V  Department of Computer Science and Engineering, Rajagiri School of Engineering and Technology, Kakkanad, Kerala, India
  • Tana Luciya Joji  Department of Computer Science and Engineering, Rajagiri School of Engineering and Technology, Kakkanad, Kerala, India
  • Sidharth K R  Department of Computer Science and Engineering, Rajagiri School of Engineering and Technology, Kakkanad, Kerala, India
  • Steffin Abraham  Department of Computer Science and Engineering, Rajagiri School of Engineering and Technology, Kakkanad, Kerala, India

Keywords:

Colorization

Abstract

This review paper is to showcase some of the different methods that have been tried out for the process of image Colorization. There have been different ways to colorize images since early times. Today’s trend is focused towards fully automatic image Colorization techniques. This paper gives an overview of some varied methods that have been tried and implemented, along with their advantages and disadvantages, and a comparison between them.

References

  1. Victor Osma-Ruiz, Juan I. Godino-Llorente, Nicolas Saenz- Lechon, and Pedro Gomez-Vilda, An improved watershed algorithm based on ef?cient computation of shortest paths, Pattern Recogn., 40(3), 10781090(2007).
  2. R.C. Gonzalez, R.E. Woods, Digital Image Processing, Addison Wesley Publishing, Reading, MA, 1987.
  3. Vivek George Jacob, Sumana Gupta, "Colorization of Gray scale images and videos using a semiautomatic approach" 2009 16th IEEE International Conference on Image Processing (ICIP).
  4. Matthias Limmer, Hendrik P. A. Lensch, "Infrared Colorization Using Deep Convolutional Neural Networks", 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).
  5. Domonkos Varga, Tams Szirnyi, "Fully automatic image Colorization based on Convolutional Neural Network", 2016 23rd International Conference on Pattern Recognition (ICPR).
  6. Aurelie Bugeau, Vinh-Thong Ta, "Patch-based image Colorization", Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
  7. Y. Qu, T. Wong, P.A. Heng, Manga Colorization, ACM Transactions on Graphics,25 (2006) 12141220.
  8. A. Kolaman and O. Yadid-Pecht. Quaternion structural similarity: a new quality index for Color images. IEEE Transactions on Image Processing,21(4): 15261536, 2012.
  9. R.C. Gonzalez, R.E. Woods, Digital Image Processing, Addison Wesley Publishing, Reading, MA, 1987.
  10. T. Welsh, M. Ashikhmin, K. Mueller, "Transferring color to greyscale images", ACM SIGGRAPH 2002 Conference Proceedings, pp. 277-280, (2002).
  11. E. Reinhard, M. Ashikhmin, B. Gooch, P. Shirley, "Color transfer between images", IEEE Transactions on Computer Graphics and Applications, vol. 21, no. 5, pp. 34-41, 2001.
  12. A. Hertzmann, C.E. Jacobs, N. Oliver, B. Curless, D.H. Salesin, "Image analogies", ACM SIGGRAPH 2001 Conference Proceedings, pp. 327340, 2001.
  13. T. Horiuchi, S. Hirano, "Colorization algorithm for grayscale image by propagating seed pixels", Proceedings of IEEE International Conference on Pattern Recognition, pp. 457-460, (2003).
  14. Liron Yatziv ,Guillermo Sapiro, "Fast image and video Colorization using chrominance blending", IEEE Transactions on Image Processing, vol. 15, no. 5, pp. 1120-1129, May 2006.
  15. Min Hu, Bo Ou, Yi Xiao, "Ef?cient image Colorization based on seed pixel selection", Multimedia Tools and Applications, 2016.
  16. Kazunori URUMA, Seiichiro HANGAI, "Image Colorization", IEICE ESS Fundamentals Review, vol. 11, pp. 186, 2018.
  17. Jeff Hwang, You Zhou, "Image Colorisation with Deep Convolutional Neural Networks" in Stanford University Research Projects, 2016.
  18. A. Krizhevsky, I. Sutskever, G. E. Hinton, "Imagenet classi?cation with deep convolutional neural networks." in Advances in neural information processing systems, pp. 1097-1105, 2012.
  19. K. Simonyan, A. Zisserman, Very deep convolutional networks for large scale image recognition., 2014.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-06-07

Issue

Volume 5, Issue 9, May-2019

Section

Research Articles

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Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rohit V, Tana Luciya Joji, Sidharth K R, Steffin Abraham, " Review on Different Methods of Image Colorization, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 9, pp.01-05, May-2019.