ChromATA: A Real‑Time Image Processing Simulation and Compensation of Colour‑Vision Deficiencies
Keywords:
Real Time Image Processing, Colour Vision Deficiency, Color Space, RecolouringAbstract
Colour conveys semantic, functional, and affective information in digital media, yet hereditary colour‑vision deficiencies (CVDs) curtail access for an estimated three‑to‑five percent of the global population. Although Web Content Accessibility Guidelines prohibit colour‑only cues, compliance remains uneven across domains where colour encodes critical distinctions. Existing assistive tools split into off‑line recolouring software, which cannot run interactively, and mobile filters, which are locked to single operating systems and rely on opaque algorithms. Research prototypes advance either perceptual simulation in LMS space. Recent GPU pipelines achieve sub‑millisecond throughput but remain closed‑source. ChromATA bridges these gaps by delivering an open, hardware‑agnostic C++/GLSL stack that unifies state‑of‑the‑art simulation, compensation, and crowdsourced evaluation under a permissive license. The framework attains video‑rate performance on commodity devices, exposes modular APIs for extension, and ships with benchmark datasets plus automated test harnesses, thereby establishing a reproducible baseline for future CVD‑accessibility research.
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Copyright (c) 2025 Eugene Sangyeop Han
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