Around 250 million people worldwide and nearly half a million people in Hong Kong suffer from colour vision deficiency. The condition leads to struggles in daily life that normally sighted people overlook, from as simple as driving and preparing food, to limitations in classroom learning and career choices.
Solutions in overcoming colour-blindness have been largely limited to using glasses to enhance the contrast between red and green, but this inevitably sacrifices the contrast of other colours such as yellow and blue, rendering them indistinguishable with the core problem unsolved.
The team has developed an AI-based colour blindness correction application adaptable to various platforms, such as smart glasses and digital displays. The tool tunes and enhances colours in real time with a very high quality, that people with colour vision deficiency sees the world in its “true colours”. This solution solves existing constraints in colour enhancement of nature images and the team accelerates the processing with deep learning technology.
The team is answering a need that may not seem as serious as eye diseases, but is often neglected by healthcare providers and technology developers because of the very same reason. This invention frees people with colour vision deficiency from everyday inconveniences, that they may learn, work and live to the fullest.
– 10000 people with colour vision deficiency
TT’s research interest spans from computer graphics and vision to computational manga and image-based rendering. Granted the Young Researcher Award in 2004 and IEEE Transactions on Multimedia Prize Paper Award 2015, TT is recognised both regionally and internationally for his work. He actively transfers his expertise to the industry and community. TT received his PhD in Computer Science from CUHK.