Colour vision deficiency

Simunovic, Matthew P.

doi:10.1038/eye.2009.251

Cited by 162 publications

(160 citation statements)

References 57 publications

(68 reference statements)

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“…The protan population has abnormal L-cone cells, which are sensitive to red light, whereas the deutan population has abnormal M-cone cells, which perceive green; both types account for approximately 95% of the people with a CVD. The remaining 5%, a small percentage, belong to the tritan group, characterized by an absence of the S-cone cells sensitive to blue light [1].…”

Section: Introductionmentioning

confidence: 99%

Construction of Confusion Lines for Color Vision Deficiency and Verification by Ishihara Chart

Cho¹,

Lee²,

Song

et al. 2015

IEIE Transactions on Smart Processing and Computing

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This paper proposes color databases that can be used for various purposes for people with a color vision deficiency (CVD). The purpose of this paper is to group colors within the sRGB gamut into the CIE L*a*b* color space using the Brettel algorithm to simulate the representative colors of each group into colors visible to people with a CVD, and to establish a confusion line database by comparing colors that might cause confusion for people with different types of color vision deficiency. The validity of the established confusion lines were verified by using an Ishihara chart. The different colors that confuse those with a CVD in an Ishihara chart are located in the same confusion line database for both protanopia and deutanopia. Instead of the 3D RGB color space, we have grouped confusion colors to the CIE L*a*b* space coordinates in a more distinctive and intuitive manner, and can establish a database of colors that can be perceived by people with a CVD more accurately. Editor -Highlight -Do these changes reflect the intended meaning? If not, please rephrase as intended.

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Section: Introductionmentioning

confidence: 99%

Construction of Confusion Lines for Color Vision Deficiency and Verification by Ishihara Chart

Cho¹,

Lee²,

Song

et al. 2015

IEIE Transactions on Smart Processing and Computing

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“…People with red-green colour deficiency confuse colours in the red-yellow-green spectra [1][2][3][4][5][6][7][8][9][10].…”

Section: Red-green Cvdmentioning

confidence: 99%

“…Correct term should be ''color vision deficiency (CVD)''. Because, the term ''color blindness'' means the absence of the ability to detect or distinguish any color [5][6][7].…”

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confidence: 99%

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Appropriate terminology in the nomenclature of the color vision deficiency

Turgut¹,

Karanfil²

2017

Clin Case Rep Rev

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The colour vision deficiencies (CVDs) are visual disorders occuring in the absence or abnormal function of one or more cones. Although the term ''Color blindness'' has been used to describe CVDs, it is actually a wrong term for nomenclature. It seems that ''color vision deficiency sould be correct term for this disorder because color blindness means the absence of the ability to detect or distinguish any color. CVDs include various mild or heavy, and hereditary or acquired color vision deficids. In this review, we aimed to summarize the CVDs.

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“…As a side note it should be mentioned that in addition to red-green color perception deficiencies (deuteranoptic and protanoptic color perception) there exists also a very rare blue-yellow color perception deficiency (Tritanomaly) affecting some 0.001-0.2% of people [13,14]. Taking into account all different anomalies for the display of data would limit the display to black and white images, however it is obvious that completely omitting colors does not allow any multi-dimensional display of information which is a too severe limitation.…”

Section: Introductionmentioning

confidence: 99%

How to display data by color schemes compatible with red-green color perception deficiencies

Geissbuehler

Lasser

2013

Opt. Express

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Abstract:Visualization of data concerns most scientists. The use of color is required in order to display multidimensional information. In addition, color encoding a univariate image can improve the interpretation significantly. However up to 10% of the adult male population are affected by a red-green color perception deficiency which hampers the correct interpretation and appreciation of color encoded information. This work attempts to give guidelines on how to display a given dataset in a balanced manner. Three novel color maps are proposed providing readers with normal color perception a maximum of color contrast while being a good compromise for readers with color perception deficiencies.

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Colour vision deficiency

Abstract: Colour vision deficiency is one of the commonest disorders of vision and can be divided into congenital and acquired forms.

Cited by 162 publications

References 57 publications

Construction of Confusion Lines for Color Vision Deficiency and Verification by Ishihara Chart

Construction of Confusion Lines for Color Vision Deficiency and Verification by Ishihara Chart

Appropriate terminology in the nomenclature of the color vision deficiency

How to display data by color schemes compatible with red-green color perception deficiencies

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