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A Computational Approach to Color Vision Enhancement Using Deep Learning, Tensorflow and Keras

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The machine learning tool improves color discernment for individuals with color vision deficiency, enhancing their autonomy.
Testing and validation confirm the reliability of the machine learning algorithms to ensure robust performance across varied images.
The study emphasizes the creation of a user-friendly graphical user interface, accommodating users with different technical skills.
Impacts include improved navigational capabilities and increased awareness about color vision deficiency in society.

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Machine learning enhances color clarity for individuals with color vision deficiency, indicating improved autonomy and inclusivity.

Pendhari et al. (2025) studied this question.

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