Color Perception

Color perception research investigates how the brain processes visual information to create our experience of color, focusing on bridging the gap between physical light stimuli and subjective experience. Current research employs computational models, including neural networks (like BiLSTMs and Vision Transformers) and algorithms based on wavelet decomposition and Wasserstein distances, to simulate color vision, improve color recognition for color-deficient individuals, and develop more accurate color difference metrics for image processing. These advancements have implications for assistive technologies for color vision deficiencies, improved image processing and analysis, and a deeper understanding of the neural mechanisms underlying human color perception.