Skip to main content
SpringerLink
Log in

Contrast prescription for multiscale image editing

  • Original Article
  • Published:
The Visual Computer Aims and scope Submit manuscript

Abstract

Recently proposed edge-preserving multi-scale image decompositions enable artifact-free and visually appealing image editing. As the human eye is sensitive to contrast, per-band contrast manipulation is a natural way of image editing. However, contrast modification in one band usually affects contrasts in other bands, which is not intuitive for the user. In practice, the desired image appearance is achieved through an iterative editing process, which often requires fine tuning of contrast in one band several times. In this article we show an analysis of properties of multiscale contrast editing frameworks and we introduce the concept of contrast prescription, which enables the user to lock the contrast in selected areas and bands and make it immune to contrast manipulations in other bands.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Bae, S., Paris, S., Durand, F.: Two-scale tone management for photographic look. In: Proc. SIGGRAPH 2006, pp. 637–645 (2006)

  2. Black, M., Sapiro, G., Marimont, D., Heeger, D.: Robust anisotropic diffusion. IEEE Trans. Image Process. 7(3), 421–432 (1998)

    Article  Google Scholar 

  3. Burt, P.J., Adelson, E.H.: The Laplacian pyramid as a compact image code. IEEE Trans. Commun. 31, 532–540 (1983)

    Article  Google Scholar 

  4. Chen, J., Paris, S., Durand, F.: Real-time edge-aware image processing with the bilateral grid. In: Proc. SIGGRAPH 2007, p. 103 (2007)

  5. Durand, F., Dorsey, J.: Fast bilateral filtering for the display of high-dynamic-range images. In: SIGGRAPH ’02: Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques, pp. 257–266. ACM, New York (2002)

    Chapter  Google Scholar 

  6. Eisemann, E., Durand, F.: Flash photography enhancement via intrinsic relighting. ACM Trans. Graph. 23(3), 673–678 (2004)

    Article  Google Scholar 

  7. Farbman, Z., Fattal, R., Lischinski, D., Szeliski, R.: Edge-preserving decompositions for multi-scale tone and detail manipulation. ACM Trans. Graph. 27(3) (2008)

  8. Fattal, R.: Edge-avoiding wavelets and their applications. ACM Trans. Graph. 28(3), 1–10 (2009)

    Article  Google Scholar 

  9. Fattal, R., Agrawala, M., Rusinkiewicz, S.: Multiscale shape and detail enhancement from multi-light image collections. ACM Trans. Graph. (Proc. SIGGRAPH) 26(3) (2007)

  10. Gibson, J.D., Bovik, A. (eds.): Handbook of Image and Video Processing. Academic Press, Orlando (2000)

    Google Scholar 

  11. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice-Hall, New Jersey (2002)

    Google Scholar 

  12. Jansen, M.H., Oonincx, P.J.: Second Generation Wavelets and Applications. Springer, Berlin (2005)

    Google Scholar 

  13. Krawczyk, G., Myszkowski, K., Seidel, H.P.: Contrast restoration by adaptive countershading. Comput. Graph. Forum 26(3), 581–590 (2007)

    Article  Google Scholar 

  14. Lagendijk, R., Biemond, J., Boekee, D.: Regularized iterative image restoration with ringing reduction. IEEE Trans. Acoust. Speech Signal Process. 36(12), 1874–1888 (1988)

    Article  Google Scholar 

  15. Levin, A., Lischinski, D., Weiss, Y.: Colorization using optimization. SIGGRAPH 23(3), 689–694 (2004)

    Article  Google Scholar 

  16. Li, Y., Sun, J., Tang, C.K., Shum, H.Y.: Lazy snapping. SIGGRAPH 23(3), 303–308 (2004)

    Article  Google Scholar 

  17. Li, Y., Sharan, L., Adelson, E.H.: Compressing and companding high dynamic range images with subband architectures. ACM Trans. Graph. (Proc. SIGGRAPH) 24(3), 836–844 (2005)

    Article  Google Scholar 

  18. Li, Y., Adelson, E., Agarwala, A.: Scribbleboost: adding classification to edge-aware interpolation of local image and video adjustments. Comput. Graph. Forum 27(4), 1255–1264 (2008)

    Article  Google Scholar 

  19. Lischinski, D., Farbman, Z., Uyttendaele, M., Szeliski, R.: Interactive local adjustment of tonal values. ACM Trans. Graph. 25(3), 646–653 (2006)

    Article  Google Scholar 

  20. Livingstone, M.: Vision and Art: The Biology of Seeing. Harry N. Abrams (2002)

  21. Mantiuk, R., Myszkowski, K., Seidel, H.P.: A perceptual framework for contrast processing of high dynamic range images. ACM Trans. Appl. Percept. 3(3), 286–308 (2006)

    Article  Google Scholar 

  22. Marr, D., Hildreth, E.: Theory of edge detection. Proc. R. Soc. Lond., Ser. B, Biol. Sci. 207(1167), 187–217 (1980)

    Google Scholar 

  23. Peli, E.: Contrast in complex images. J. Opt. Soc. Am. A 7(10), 2032–2040 (1990)

    Article  Google Scholar 

  24. Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7), 629–639 (1990)

    Article  Google Scholar 

  25. Subr, K., Soler, C., Durand, F.: Edge-preserving multiscale image decomposition based on local extrema. In: ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2009), Annual Conference Series. ACM, New York (2009)

    Google Scholar 

  26. Sweldens, W.: The lifting scheme: a construction of second generation wavelets. SIAM J. Math. Anal. 29(2), 511–546 (1997)

    Article  MathSciNet  Google Scholar 

  27. Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Proceedings of the Sixth International Conference on Computer Vision (ICCV ’98), p. 839. IEEE Computer Society, Los Alamitos (1998)

    Google Scholar 

  28. Tumblin, J., Turk, G.: LCIS: A boundary hierarchy for detail-preserving contrast reduction. In: Proc. SIGGRAPH ’99, pp. 83–90 (1999)

  29. Uytterhoeven, G., Roose, D., Bultheel, A.: Wavelet transforms using the lifting scheme (1997)

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, West Pomeranian University of Technology, Żołnierska 49, 71-210, Szczecin, Poland

    Dawid Paja̧k

  2. Max-Planck-Institut für Informatik, Stuhlsatzenhausweg 85, 66123, Saarbrücken, Germany

    Martin Čadík, Tunç Ozan Aydın, Makoto Okabe, Karol Myszkowski & Hans-Peter Seidel

Authors
  1. Dawid Paja̧k
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Martin Čadík
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tunç Ozan Aydın
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Makoto Okabe
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Karol Myszkowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Hans-Peter Seidel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dawid Paja̧k.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Paja̧k, D., Čadík, M., Aydın, T.O. et al. Contrast prescription for multiscale image editing. Vis Comput 26, 739–748 (2010). https://doi.org/10.1007/s00371-010-0485-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00371-010-0485-3

Keywords

Search

Navigation