Real Time Image Processing on a Portable Aid Device for Low Vision Patients

  • E. Ros
  • J. Díaz
  • S. Mota
  • F. Vargas-Martín
  • M. D. Peláez-Coca
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3985)


Low vision patients are subjects with very restricted visual fields or low contrast. There are different pathologies affecting this kind of patients. From a functional point of view the residual vision can be classified in three categories: low contrast vision, tunnel vision and peripheral vision. This contribution describes simple real-time image processing schemes that can help this kind of patients. The presented approaches have been implemented in specific hardware (FPGA device) to achieve real-time processing with low cost portable systems. This represents a very valid alternative to optical aids that are widely used in this field.


Peripheral Vision FPGA Device Central Visual Field Image Processing Task Reconfigurable Hardware 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Peli, E.: Field Expansion for Homonymous Hemianopia using Prism and Peripheral Diplopia. In: Technical Digest on Vision Science and it Applications. Optical Society of America, Washington, DC, vol. 1, pp. 74–77 (1999)Google Scholar
  2. 2.
    Kozlowski, J.M., Mainster, M.A., Avila, M.P.: Negative-lens field expander for patients with concentric field constriction. Arch. Ophthalmol. 102, 1182–1184 (1984)CrossRefGoogle Scholar
  3. 3.
    Vargas-Martin, F., Peli, E.: Augmented view for restricted visual field: multiple device implementations. Optometry and Vision Science 79(11), 715–723 (2002)CrossRefGoogle Scholar
  4. 4.
    Toledo, F.J., Martínez, J.J., Garrigós, F.J., Ferrández, J.M.: An Augmented Reality Visual Prothesis for People Affected by Tunneling Vision. In: Mira, J., Álvarez, J.R. (eds.) IWINAC 2005. LNCS, vol. 3561, pp. 319–326. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  5. 5.
    Venkatachalam, R., Strong, J.G., Wong, W., Hornsey, R.: Digital Zoom for Low Vision Enhancement Systems, IS&T/SPIE Sym. on Elec. Im., San Jose, USA, pp. 18–22 (2004)Google Scholar
  6. 6.
    Clarity company web site,
  7. 7.
    Celoxica company web site,
  8. 8.
    Peli, E.: Vision multiplexing: an engineering approach to vision rehabilitation device development. Optom. Vis. Sci. 78(5), 304–315 (2001)CrossRefGoogle Scholar
  9. 9.
    Cohen, J.M.: An overview of enhancement techniques for peripheral field loss. J. Am. Optom. Assoc. 64, 60–70 (1993)Google Scholar
  10. 10.
    Xilinx company web site,
  11. 11.
    Vargas-Martín, F., Peláez-Coca, M.D., Ros, E., Diaz, J., Mota, S.: A generic real-time video processing unit for low vision. In: ICS, vol. 1282, pp. 1075–1079 (2005)Google Scholar
  12. 12.
    Peli, E., Kim, J., Yitzhaky, Y., Goldstein, R.B., Woods, R.L.: Wide-band enhancement of television images for people with visual-impairments. J. Opt. Soc. Am. A. 21(6), 937–950 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • E. Ros
    • 1
  • J. Díaz
    • 1
  • S. Mota
    • 2
  • F. Vargas-Martín
    • 3
  • M. D. Peláez-Coca
    • 3
  1. 1.Dep. Arquitectura y Tecnología de ComputadoresUniversidad de GranadaSpain
  2. 2.Dep.Informática y Análisis NuméricoUniversidad de CórdobaSpain
  3. 3.Departamento de FísicaUniversidad de MurciaSpain

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