Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Colorimetric Characterization Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

12. Overview of Grayscale Image Colorization Techniques

verfasst von : Adam Popowicz, Bogdan Smolka

Erschienen in: Color Image and Video Enhancement

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Colorization is the process of adding color information to grayscale images. This operation may be performed in various ways. The colorization may be automatic, without the user’s effort, however, the semi-automatic methods are usually more flexible and useful. In this chapter, we start with a literature overview, where we enumerate and shortly characterize numerous state-of-the-art methods. Then, we present the details of one fully automatic and three semi-automatic techniques. We also show exemplary algorithms outcomes for several colorization applications such as medicine or astronomy. Finally, we present the methodology of assessing the results of the colorization algorithms. We describe the three most important quality measures and we evaluate their usefulness.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Enhancement of Image Content for Observers with Colour Vision Deficiencies
Nächstes Kapitel Computationally Efficient Data and Application Driven Color Transforms for the Compression and Enhancement of Images and Video
Literatur
1.
Bezrukov, I., Charpiat, G., Hofmann, M.: Computational photography methods and applications. Machine learning methods for automatic image colorization. Boca Raton: CRC Press (2010)
2.
Chen, T., Wang, Y., Schillings, V., Meinel, Ch.: Grayscale image matting and colorization. In: Proceedings of Asian Conference on Computer Vision (ACCV 2004), pp.1164–1169 (2004)
3.
4.
Ding, X., Xu, Y., Deng, L., Yang, X. Colorization using quaternion algebra with automatic scribble generation. In: Proceedings of the 18th International Conference on Advances in Multimedia Modeling, MMM’12, pp.103–114. Springer-Verlag, Berlin (2012)
5.
Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. Int. J. Comput. Vision 59(2):167–181 (2004)CrossRef
6.
Hertzmann, A., Jacobs, C.E., Oliver, N., Curless, B., Salesin, D.H.: Image analogies. In: Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH ’01, pp.327–340. ACM, New York (2001)CrossRef
7.
Horiuchi, T.: Estimation of color for gray-level image by probabilistic relaxation. In: Proceedings of the 16th International Conference on Pattern Recognition, 2002., vol.3, pp.867–870 (2002)
8.
Horiuchi, T., Hirano, S.: Colorization algorithm for grayscale image by propagating seed pixels. In: Proceedings of International Conference on Image Processing, 2003. ICIP 2003., vol.1, pp.I–457–60 (Sept 2003)
9.
Irony, R., Cohen-Or, D., Lischinski, D.: Colorization by example. In: Proceedings of the Sixteenth Eurographics Conference on Rendering Techniques, EGSR ’05, pp.201–210. Eurographics Association, Aire-la-Ville (2005)
10.
Jacob, V.G., Gupta, S.: Colorization of grayscale images and videos using a semiautomatic approach. In: Proceedings of the 16th IEEE International Conference on Image Processing, ICIP’09, pp.1653–1656. IEEE Press, Piscataway (2009)
11.
Kawulok, M., Kawulok, J., Smolka, B.: Discriminative textural features for image and video colorization. IEICE Trans. Inf. Syst. 95, 1722–1730 (2012)CrossRef
12.
Kawulok, M., Smolka, B.: Competitive image colorization. In: 17th IEEE International Conference on Image Processing (ICIP 2010), pp.405–408 (Sept 2010)
13.
Kawulok, M., Smolka, B.: Texture-adaptive image colorization framework. EURASIP J. Adv. Sig. Proc. 2011, 99 (2011)
14.
Kim, T.H., Lee, K.M., Lee, S.U.: Edge-preserving colorization using data-driven random walks with restart. In: 16th IEEE International Conference on Image Processing (ICIP 2009), pp.1661–1664 (Nov 2009)
15.
Konushin, V., Vezhnevets, V.: Interactive image colorization and recoloring based on coupled map lattices. In: GraphiCon, pp.231–234 (2006)
16.
Lagodzinski, P., Smolka, B.: Application of the extended distance transformation in digital image colorization. Multimed. Tool Appl. 69(1), 111–137 (2014)
17.
Levin, A., Lischinski, D., Weiss, Y.: Colorization using optimization. ACM Trans. Graph. 23(3), 689–694 (Aug 2004)CrossRef
18.
Lezoray, O., Ta, V.T., Elmoataz, A.: Nonlocal graph regularization for image colorization. In: 19th International Conference on Pattern Recognition (ICPR 2008), pp.1–4 (Dec 2008)
19.
Lipowezky, U.: Grayscale aerial and space image colorization using texture classification. Pattern Recognit. Lett. 27(4), 275–286 (2006)CrossRef
20.
Liu, X., Liu, J., Feng, Z.: Colorization using segmentation with random walk. In: Jiang, X., Petkov, N. (eds.) Computer analysis of images and patterns, volume 5702 of Lecture Notes in Computer Science, pp.468–475. Springer, Berlin (2009)
21.
Luan, Q., Wen, F., Cohen-Or, D., Liang, L., Xu, Y.Q., Shum, H.Y.: Natural image colorization. In: Proceedings of the 18th Eurographics Conference on Rendering Techniques, EGSR’07, pp.309–320, Aire-la-Ville, Switzerland, Switzerland (2007)
22.
Lukac, R., Smolka, B., Martin, K., Plataniotis, K. N., Venetsanopoulos, A.N.: Vector filtering for color imaging. Sign. Process. Mag., IEEE, 22(1), 74–86 (Jan 2005)
23.
Plataniotis, K.N., Venetsanopoulos, A.N.: Color Image Processing and Applications. Springer-Verlag, Berlin (2000)CrossRef
24.
Popowicz, A., Smolka, B.: Isoline based image colorization. In: Proceedings of the 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, UKSIM ’14, pp.280–285. IEEE Computer Society, Washington, DC (2014)
25.
Qu, Y., Wong, T.T., Heng, P.A.: Manga colorization. ACM Trans. Graph. 25(3), 1214–1220 (July 2006)CrossRef
26.
Rao Veeravasarapu, V.S., Sivaswamy, J.: Fast and fully automated video colorization. In: International Conference on Signal Processing and Communications (SPCOM 2012), pp.1–5 (July 2012)
27.
Reinhard, E., Adhikhmin, M., Gooch, B., Shirley, P.: Color transfer between images. Comput. Gr. Appl., IEEE 21(5), 34–41 (Sep 2001)
28.
29.
Ruderman, D.L., Cronin, T.W., Chiao, C.C.: Statistics of cone responses to natural images: Implications for visual coding. J. Opt. Soc. Am. A 15, 2036–2045 (1998)CrossRef
30.
Russo, F.: Performance evaluation of noise reduction filters for color images through normalized color difference (NCD) decomposition. ISRN Machine Vision (2014)
31.
Sapiro, G.: Inpainting the colors. In: IEEE International Conference on Image Processing, (ICIP 2005), vol.2, pp.II–698–701 (Sept 2005)
32.
Shah, A., Gandhi, M., Shah, K.: Medical image colorization using optimization technique. Int. J. Sci. Res. Publ. 3(3), 1–6 (2013)
33.
Sýkora, D., Buriánek, J., Žára, J.: Unsupervised colorization of black-and-white cartoons. In: Proceedings of the 3rd International Symposium on Non-photorealistic Animation and Rendering, NPAR ’04, pp.121–127. ACM, New York (2004)CrossRef
34.
Wang, Z.B., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Imag. Process. 13(4), 600–612 (April 2004)CrossRef
35.
Wei-Qi, Y., Kankanhalli, M.S.: Colorizing infrared home videos. In: Proceedings of International Conference on Multimedia and Expo, (ICME 2003), vol.1, pp.I–97–100 (July 2003)
36.
Welsh, T., Ashikhmin, M., Mueller, K.: Transferring color to greyscale images. ACM Trans. Graph. 21(3), 277–280 (July 2002)CrossRef
37.
Xiang, Y., Zou, B., Li, H.: Selective color transfer with multi-source images. Pattern Recognit. Lett. 30(7), 682–689 (2009)CrossRef
38.
Yatziv, L., Sapiro, G.: Fast image and video colorization using chrominance blending. IEEE Trans. Imag. Process. 15(5), 1120–1129 (May 2006)CrossRef
39.
Zhang, Z., Cui, H., Lu, H., Chen, R., Yan, Y.: A colorization method based on fuzzy clustering and distance transformation. In: 2nd International Congress on Image and Signal Processing 2009 (CISP 2009), pp.1–5 (Oct 2009)
40.
Zhao, Y., Wang, L., Jin, W., Shi, S.: Colorizing biomedical images based on color transfer. In: International Conference on Complex Medical Engineering (CME 2007), pp.820–823 (May 2007)
41.
Zhen, Z., Yan, G., Lizhuang, M.: An automatic image and video colorization algorithm based on pattern continuity. In: International Conference on Audio, Language and Image Processing (ICALIP 2012), pp.531–536 (July 2012)
Metadaten
Titel
Overview of Grayscale Image Colorization Techniques
verfasst von
Adam Popowicz
Bogdan Smolka
Copyright-Jahr
2015
Buch
Color Image and Video Enhancement

Print ISBN: 978-3-319-09362-8

Electronic ISBN: 978-3-319-09363-5

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-09363-5_12