Colour blindness is one of the minor disorders in individuals appearing due to a genetic mutation causing the intensity to few colours making the individual fail to discriminate specific colours. Concerning the nobility of colour recognition, the disorder ranges in differentiating monochromic colour to the most common form. This ‘red-green’ dissimilarity causes vibrant colours to override dull colours easily are easily seen, and the dull shades are difficult to perceive. Targeting the impacts of colour blindness, in our research work, we have proposed a designed colour filter built on the combination of the well-known Ishihara test t and histogram equalization. Ishihara filter alone is insufficient as the approach is not suited well to translate real-world images. To overcome this problem, the proposed work aimed at the modification Ishihara filter eradicating lighter shades and shifting them to the darker regions. The image obtained after applying histogram equalization could also be perceived by a colour-blind person. The research paper has also presented a comparative analysis of the two approaches for the elimination of colour blindness.
CITATION STYLE
Sannidhan, M. S., Martis, J. E., Aravinda, C. V., & Bhatnagar, R. (2023). Correction of an Image for Colour Blindness Using the Fusion of Ishihara Filter and Histogram Equalization. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 164, pp. 294–304). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-27762-7_28
Mendeley helps you to discover research relevant for your work.