Skip to main content

New Contrast Measures for Pixel Supersampling

  • Conference paper
Advances in Modelling, Animation and Rendering

Abstract

Ray tracing is a straightforward and powerful image synthesis technique but usually requires many rays per pixel to eliminate the aliasing or noise in the final image. However, not all the pixels in the image require the same quantity of rays. In this paper we introduce new measures for supersampling refinement criteria, based on colour and geometry. These measures use the entropy, one of the most relevant Information Theory concepts. All the new measures are compared with other classic contrast measures.

Keywords: contrast, entropy, pixel quality, pixel sampling, supersampling.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R.E. Blahut. Principles and Practice of Information Theory. Addison-Wesley, 1987.

    MATH  Google Scholar 

  2. Terrence M. Caelli. Visual Perception: Theory and Practice. Pergamon Press, Oxford, UK, 1981.

    Google Scholar 

  3. T.M. Cover and J.A. Thomas. Elements of Information Theory. Wiley Series in Telecommunications, 1991.

    Book  MATH  Google Scholar 

  4. Lucia Darsa and Bruno Costa Silva. Multi-resolution representation and reconstruction of adaptively sampled images. In Proceedings of IX

    Google Scholar 

  5. Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI’96), pages 321–328, October 1996.

    Google Scholar 

  6. Lucia Darsa, Bruno Costa Silva, and Amitabh Varshney. Navigating static environments using image-space simplification and morphing. 1997 Symposium on Interactive 3D Graphics, pages 25–34, April 1997.

    Google Scholar 

  7. A.S. Glassner. Principles of Digital Image Synthesis. Morgan Kaufmann Publishers, San Francisco (CA), USA, 1995.

    Google Scholar 

  8. Computer Graphics Research Group. RenderPark: A Photorealistic Rendering Tool. Katholieke Universiteit Leuven, Leuven, Belgium, November 2000.

    Google Scholar 

  9. Don P. Mitchell. Generating antialiased images at low sampling densities. Computer Graphics (Proceedings of SIGGRAPH’87), 21(4):65–72, July 1987. Held in Anaheim (CA), USA.

    Article  Google Scholar 

  10. James Painter and Kenneth Sloan. Antialiased ray tracing by adaptive progressive refinement. Computer Graphics (Proceedings of SIGGRAPH’89), 23(3):281–288, July 1989. Held in Boston (MA), USA.

    Article  Google Scholar 

  11. Kari Pulli, Michael F. Cohen, Tom Duchamp, Hugues Hoppe, Linda Shapiro, and Werner Stuetzle. View-based rendering: Visualizing real objects from scanned range and color data. In Julie Dorsey and Philipp Slusallek, editors, Rendering Techniques’97 (Proceedings of the 8th Eurographics Workshop on Rendering), pages 23–34, New York (NY), USA, June 1997. Springer-Verlag Vienna-New York. Held in St. Etienne, France.

    Google Scholar 

  12. Jaume Rigau, Miguel Feixas, Philippe Bekaert, and Mateu Sbert. View-dependent information theory measures for pixel sampling and scene discretization in flatland. In Proceedings of Spring Conference on Computer Graphics’01, pages 173–180, Los Alamitos (CA), USA, April 2001. IEEE Computer Society. Held in Budmerice, Slovak Republic.

    Chapter  Google Scholar 

  13. Jaume Rigau, Miguel Feixas, and Mateu Sbert. Information theory point measures in a scene. Research Report IIiA-00–08-RR, Institut d’Informàtica i Aplicacions, Universitat de Girona, Girona, Spain, 2000.

    Google Scholar 

  14. Maryann Simmons and Carlo H. Séquin. Tapestry: A dynamic mesh-based display representation for interactive rendering. In Bernard Péroche and Holly Rushmeier, editors, Rendering Techniques 2000 (Proceedings of the 11th Eurographics Workshop on Rendering), pages 329–340, New York (NY), USA, June 2000. Springer-Verlag Vienna-New York.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag London

About this paper

Cite this paper

Rigau, J., Feixas, M., Sbert, M. (2002). New Contrast Measures for Pixel Supersampling. In: Vince, J., Earnshaw, R. (eds) Advances in Modelling, Animation and Rendering. Springer, London. https://doi.org/10.1007/978-1-4471-0103-1_28

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-0103-1_28

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1118-4

  • Online ISBN: 978-1-4471-0103-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics