Skip to main content

The Spectral Optimization of Human Vision: Some Paradoxes, Errors and Resolutions

  • Chapter
International Trends in Optics and Photonics

Part of the book series: Springer Series in OPTICAL SCIENCES ((SSOS,volume 74))

  • 630 Accesses

Summary

The peak brightness of the solar spectrum is in the green when plotted in wavelength units. It peaks in the near-infrared when plotted in frequency units. Therefore, the oft-quoted notion that evolution led to an optimized eye whose sensitivity peaks where there is the most available sunlight is misleading and erroneous. The confusion arises when spectral density distribution functions like the spectral radiance are compared with ordinary functions like the sensitivity of the eye. Spectral radiance functions, excepting very narrow ones, can change peak positions greatly when transformed from wavelength to frequency units, but sensitivity functions do not. Expressing the spectral radiance in terms of photons per second, rather than power, also causes a change in the shape and peak of the distribution even while keeping the choice of bandwidth units fixed. The confusion arising from comparing simple functions to distribution functions occurs in many parts of the scientific and engineering literature aside from vision. Some examples are given. The eye does not appear to be optimized for detection of the available sunlight, including the surprisingly large amount of infrared radiation in the environment. The color sensitivity of the eye is discussed in terms of the spectral properties and the photo and chemical stability of available biological materials. It is likely that we are viewing the world with a souvenir of the human evolutionary voyage.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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 and Notes

  1. Lang, K. (1995) Sun Earth and Sky. Springer, Berlin

    Book  Google Scholar 

  2. Mollon, J.D. (1989) The Uses and Origins of Primate Colour Vision. J exp Biol 146: 21–38

    Google Scholar 

  3. Mcllwain, J.T. (1996) An Introduction to the Biology of Vision. Cambridge University Press, Cambridge

    Book  Google Scholar 

  4. Thompson, E. (1995) Colour Vision. Routledge, London, New York

    Google Scholar 

  5. Rose, A. (1973) Vision Human and Electronic. Plenum, New York and London

    Google Scholar 

  6. Boynton, R. (1979) Human Color Vision. Holt, Rienhart and Winston, New York

    Google Scholar 

  7. Boynton, R.M. (1990) Human Color Perception. In: Leiboveic, K.N. (Ed.) Science of Vision. Springer, New York

    Google Scholar 

  8. Lynch, D.K., Livingston, W.C. (1995) Color and Light in Nature. Cambridge University Press, Cambridge

    Google Scholar 

  9. White, L. (1996) Infrared Photography Handbook Amherst Media, Amherst New York

    Google Scholar 

  10. Sekuler, M., Blake, R. (1994) Perception, 3rd edn. McGraw-Hill, New York

    Google Scholar 

  11. Several similar but distinct spectral radiometric quantities: radiant power, radiant emittance, irradiance, radiant intensity, and radiance are employed to describe spectral density distributions. As they all are spectral densities, i.e., quantities per unit bandwidth interval, e.g., per unit wavelength interval or per unit frequency interval, they illustrate the argument of this paper equally well.

    Google Scholar 

  12. Anderson, G.P., et al. (1994) MODTRAN2: Evolution and Applications. Proc SPIE 222: 790–799

    Google Scholar 

  13. Henderson, S.T. (1970) Daylight and Its Spectrum. Amer. Elsevier, New York

    Google Scholar 

  14. Judd, D.B., Wyszecki, G. (1975) Color in Business. Science and Industry, 3rd edn. Wiley, New York

    Google Scholar 

  15. Incidentally, human hearing, on the other hand, does have a physiologically preferred spectral representation. We have an intrinsic logarithmic spectral response to acoustic radiance. This can be appreciated by noticing that we associate essentially the same musical pitch and note name to all the n octaves (2n multiples) of a given note’s frequency. If we pick, for example, middle C = 256 Hz, the frequency of the note one octave higher, by definition, is 512 Hz. We hear all those n higher octave notes, ignoring intensity dependent effects, still as a kind of replica of C, although higher in pitch. In representing musical spectral power or noise density distributions, the very same representational issues that we have been discussing for optical power naturally arise. But here, if the intention is to represent human perceptual hearing, then the logarithmic representation is clearly to be preferred and thus, by settling on it, many of the representational pitfalls and paradoxes can be avoided. Audio engineers have introduced several spectral logarithmic measures and quantities. For example the logarithmic equivalent of equally distributed, or so called “white,” noise is appropriately called “pink” noise. It preferentially weights the lower frequencies logarithmically, thereby putting equal noise power into each octave. To the ear, pink noise sounds uniformly distributed.

    Google Scholar 

  16. Benford, F. (1939) Laws and Corrolaries of the Black Body. J Opt Soc Am 29: 92–96.

    Article  ADS  Google Scholar 

  17. Szalai, V.A., Brudviig, G.W. (1998) How Plants Produce Dioxygen. Amer Scientist 86: 542–551

    Article  ADS  Google Scholar 

  18. Project Cyclops (1973) CR 114445, NASA/Ames Research Center, Moffett Field, California, 41

    Google Scholar 

  19. Krasovsky, V.I., Shefov, N.N., Yarin, V.I. (1962) Atlas of the Airglow Spectrum 3000–12400 A. Planet Space Sci 9: 883–915

    Article  ADS  Google Scholar 

  20. Pirenne, M.H. (1948) Vision and the Eye. Chapman and Hall, London. This quote does not appear in the second edition (1967)

    Google Scholar 

  21. Duke-Elder, S. (1958) The Eye in Evolution. Henry Kimpton, London

    Google Scholar 

  22. Pastor, R.C., Kimura, H., Soffer, B.H. (1971) Thermal Stability of Polymethine Q-Switch Solutions. J Appl Phys 42: 3844–3847

    Article  ADS  Google Scholar 

  23. Pastor, R.C., Soffer, B.H., Kimura, H. (1972) Photostability of Polymethine Saturably Absorbing Dye Solutions. J Appl Phys 43: 3530–3533

    Article  ADS  Google Scholar 

  24. Ali, M.A. (1975) Temperature and Vision. Revue Canadienne de Biologie V34: 131–186

    Google Scholar 

  25. Knowles, A., Dartnall, H.J.A. (1977) In: Dayson, H. (Ed.) The Eye 2B. Academic Press, London

    Google Scholar 

  26. Van Kuijk, F.J.G.M. (1991) Effects of Ultraviolet Light on the Eye: Role of Protective Glasses. Environmental Health Perspectives 96: 177–184

    Google Scholar 

  27. Bowmaker, J.K. (1991) The Evolution of Vertebrate Visual Pigments and Photoreceptors. In: Cronly-Dillon, J.R., Gregory, R.L (Eds.) Vision and Visual Dysfunction 2. CRC, Boca Raton

    Google Scholar 

  28. Govardovskii, V.I., Zueva, L.V. (1974) Spectral Sensitivity of the Frog in the Ultravolet and Visible Region. Vision Res 14: 1317–1321

    Article  Google Scholar 

  29. Soifer, B.H., Lynch, D.K. (1997) Has Evolution Optimized Vision For Sunlight. Annual Meeting of the OSA, Long Beach CA, Oct 12–17, SUE4 p 70

    Google Scholar 

  30. Lynch, D.K., Soffer, B.H. ( 1999 ) On the Solar Spectrum and the Color Sensitivity of the Eye. Optics and Photonics News, March

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Soffer, B.H., Lynch, D.K. (1999). The Spectral Optimization of Human Vision: Some Paradoxes, Errors and Resolutions. In: Asakura, T. (eds) International Trends in Optics and Photonics. Springer Series in OPTICAL SCIENCES, vol 74. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48886-6_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-48886-6_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-14212-7

  • Online ISBN: 978-3-540-48886-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics