A Constructive Framework for Colour Vision Deficiency (CVD) in Digital Photography

Muhammad Azri Abdul Rahman; Nadzri Mohd Sharif; Liza Marziana Mohamad Noh; Moer Hasmadi Meor Hamzah; Fahmi Samsudin

doi:10.21834/e-bpj.v10iSI29.6911

Authors

Muhammad Azri Abdul Rahman College of Creative Arts, Universiti Teknologi MARA Cawangan Melaka, Alor Gajah, Malaysia
Nadzri Mohd Sharif College of Creative Arts, Universiti Teknologi MARA Cawangan Melaka, Alor Gajah, Malaysia
Liza Marziana Mohamad Noh College of Creative Arts, Universiti Teknologi MARA Cawangan Melaka, Alor Gajah, Malaysia
Moer Hasmadi Meor Hamzah College of Creative Arts, Universiti Teknologi MARA Cawangan Melaka, Alor Gajah, Malaysia
Fahmi Samsudin College of Creative Arts, Universiti Teknologi MARA Cawangan Melaka, Alor Gajah, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v10iSI29.6911

Keywords:

Color blindness, color vision deficiency photographer, constructive framework, inferential test

Abstract

Studies show that around 8% of men and about 0.5% of women globally are affected by color blindness (Nathans et al., 1993; Neitz & Neitz, 2011), making the appreciation of photography challenging. Further research is required to explore the visual difficulties that color vision deficiency (CVD) photographers face. This study evaluates the visual skills of CVD photographers, explicitly focusing on the categories of Protanopia, Tritanopia, and Deuteranopia. It employs the HSx-Based Method, Contour Adjustment, Interpretation Process, and Perception Learning. After preliminary testing, experimental testing was conducted with control questions and minimal coaching. The Chi-square Test of Homogeneity classifies CVD and compares it to normal vision. Spearman's Rho Correlation Test confirms that all CVD categories are "photosafe," providing valuable software and product development insights.

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