167
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Visual contents adaptation for colour vision deficiency using customised ICC profile

, &
Pages 258-265 | Published online: 07 Jun 2010
 

Abstract

Purpose. Approximately, 1 of 12 persons in the world has colour vision deficiency (CVD), named colour blindness. While the amount of graphic information in digital contents is continuing to increase dramatically, assistive tools for colour vision deficiencies remain scarce.

Methods. We developed a method to generate customised International Colour Consortium (ICC) colour profiles for patients suffering from CVD, which could adjust graphic contents according to individual needs. Compensation rules for the pale or dark range of red and green colours were established, and an ICC profile was generated using this set of rules.

Results. The passing rate for Ishihara test was 99.5% when the generated profile was applied to 10 Ishihara plates and tested on individuals suffering from red deficiency, and green deficiency (5, and 15 participants, respectively). The time used to generate the compensation profile was 12.9 min on average, including the time taken to explain the test to the participants.

Conclusion. Reliable results were achieved with a relatively low effort in comparison with methods currently utilised in professional clinics, and does not need expensive instruments.

Acknowledgements

This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund) (KRF-2007-521-D00444).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 340.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.