DOI QR코드

DOI QR Code

Hardware Digital Color Enhancement for Color Vision Deficiencies

  • Chen, Yu-Chieh (Instrument Technology Research Center, National Applied Research Laboratories, Department of Electrical Engineering, National Tsing-Hua University) ;
  • Liao, Tai-Shan (Instrument Technology Research Center, National Applied Research Laboratories)
  • Received : 2010.01.26
  • Accepted : 2010.08.30
  • Published : 2011.02.28

Abstract

Up to 10% of the global population suffers from color vision deficiency (CVD) [1], especially deuteranomaly and protanomaly, the conditions in which it is difficult to discriminate between red and green hues. For those who suffer from CVD, their career fields are restricted, and their childhood education is frustrating. There are many optical eye glasses on the market to compensate for this disability. However, although they are attractive due to their light weight, wearing these glasses will decrease visual brightness and cause problems at night. Therefore, this paper presents a supplementary device that comprises a head-mounted display and an image sensor. With the aid of the image processing technique of digital color space adjustment implemented in a high-speed field-programmable gate array device, the users can enjoy enhanced vision through the display without any decrease in brightness.

Keywords

References

  1. Genetics Home Reference: http://ghr.nlm.nih.gov/condition/colorvision- deficiency
  2. S. Yang and Y.M. Ro, "Visual Contents Adaption for Color Vision Deficiency," Image Process. Conf., vol. 1, Sept. 2003, pp. 453-456.
  3. T.C. Jen et al., "Image Recolorization for the Colorblind," Acoustics, Speech, Signal Process. Conf., Apr. 2009, pp. 1161- 1164.
  4. T. Ohkubo and K. Kobayashi, "A Color Compensation Vision System for Color-blind People," SICE, Aug. 2008, pp. 1286-1289.
  5. MYUV, 2007. http://www.myvu.com/
  6. Microvision, 2007. http://www.microvision.com/wearable_ displays
  7. C. Gonzalez and E. Woods, Digital Image Processing, 2nd ed., Prentice Hall Publishers, 2002, pp. 289-290.
  8. H. Brettel, F. Vienot, and J.D. Mollon, "Computerized Simulation of Color Appearance for Dichromats," J. Optical Society America, vol. 10, no. 10, Oct. 1997, pp. 2647-2655.
  9. E. Thomas and R. Moorby, The Verilog Hardware Description Language, 5th ed., Kluwer Axademic Publishers, 2002.
  10. Altera, 2007. EP3C5F256C8N, http://www.altera.com
  11. Himax, 2006. http://www.himaxdisplay.com/en/product/7007le. htm
  12. J.M. Perez, P. Sanchez, and M. Martinez, "Low-Cost Bayer to RGB Bilinear Interpolation with Hardware-Aware Median Filter," ICECS, Dec. 2009, pp. 916-919.
  13. K. Nallaperumal et al., "A Novel Adaptive Weighted Color Interpolation Algorithm for Single Sensor Digital Camera Images," Computational Intell. Multimedia Appl., Dec. 2007, pp. 477-481.
  14. Y.C. Chen and T.S. Liao, "Converter Translates Bayer Raw Data to RGB Format," EDN, Feb. 2010, pp. 47-48.

Cited by

  1. Recoloring Algorithms for Colorblind People : A Survey vol.52, pp.4, 2011, https://doi.org/10.1145/3329118
  2. Image recoloring for color vision deficiency compensation: a survey vol.37, pp.12, 2011, https://doi.org/10.1007/s00371-021-02240-0