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Legibility of condensed perceptually-tuned grayscale fonts

  • R. A. Morris
  • R. D. Hersch
  • A. Coimbra
Part II: Common RIDT'98 and EP'98 Session Lgibility and Typpgraphy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1375)

Abstract

We analyze the quality of condensed text on LCD displays, generated with unhinted and hinted bilevel characters, with traditional anti-aliased and with perceptually-tuned grayscale characters. Hinted bi-level characters and perceptually-tuned grayscale characters improve the quality of displayed small size characters (8pt, 6pt) up to a line condensation factor of 80%. At higher condensation factors, the text becomes partly illegible. In such situations, traditional anti-aliased grayscale character seems to be the most robust variant. We explore the utility of perceptually-tuned grayscale fonts for improving the legibility of condensed text. A small advantage was found for text searching, compared to bilevel fonts. This advantage is consistent with human vision models applied to reading.

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References

  1. 1.
    R. D. Hersch, C. Bétrisey, J. Bur, A. Gürtler, “Perceptually-Tuned Generation of Grayscale Fonts”, IEEE Computer Graphics and Applications, 15 (6), 1995, 78–89.CrossRefGoogle Scholar
  2. 2.
    R. D. Hersch, “Font Rasterization, the State of the Art”, Visual and Technical Aspects of Type, (R.D. Hersch, Ed.), Cambridge University Press, 1993, 78–109.Google Scholar
  3. 3.
    J. Warnock, “The Display of Characters Using Gray Level Sample Arrays”, Computer Graphics (Proc. Siggraph), 14 (3), 1980, 302–307.CrossRefGoogle Scholar
  4. 4.
    F. Crow, “The Use of Grayscale for Improved Raster Display of Vectors and Characters”, Computer Graphics (Proc. Siggraph), 12 (3), 1978, 1–6.CrossRefGoogle Scholar
  5. 5.
    A. Naiman, A. Fournier, “Rectangular Convolution for Fast Filtering of Characters”, Computer Graphics (Proc. Siggraph), 21 (4), 1987, 233–242.MathSciNetCrossRefGoogle Scholar
  6. 6.
    A. Black, A. Boag, “Choosing Binary or Greyscale Bitmaps: some Consequences for Users”, C. Vanoirbeek & G. Coray (Eds.) Proceedings Electronic Publishing, Cambridge University Press, 1992, 247–260.Google Scholar
  7. 7.
    K. O'Regan, N. Bismuth, R. D. Hersch, A. Pappas, “Legibility of Perceptually-Tuned Grayscale Fonts”, Proc. IEEE Int. Conf. Image Processing, (Ed. P. Delogne), Vol 1, 1996, 537–540.Google Scholar
  8. 8.
    D. S. Mitrinovic, Elementary Inequalities, Noordhoff, Groningen, 1964.Google Scholar
  9. 9.
    R. P. Garzia, ed. Vision and Reading, Mosby-Year Book, 1996.Google Scholar
  10. 10.
    M. C. Williams, J. G. May, R. Solman, H. Zhou, The effects of spatial filtering and contrast reduction on visual search times in good and poor readers, Vis Res. 35, 1995, 285–291.CrossRefGoogle Scholar
  11. 11.
    F. Vitu, K. O'Regan, A. W. Inhoff and R. Topolski, “Mindless reading: eye-movement characteristics are similar in scanning letter strings and reading texts”, Percept. Psychophys., 57(3), Apr. 1995, 352–36.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • R. A. Morris
    • 1
  • R. D. Hersch
    • 2
  • A. Coimbra
  1. 1.University of MassachusetsBostonUSA
  2. 2.Ecole Polytechnique FédéraleLausanneSwitzerland

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