{"ID":2833131,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.05067","arxiv_id":"2512.05067","title":"Perceptually-Minimal Color Optimization for Web Accessibility: A Multi-Phase Constrained Approach","abstract":"Web accessibility guidelines require sufficient color contrast between text and backgrounds; yet, manually adjusting colors often necessitates significant visual deviation, compromising vital brand aesthetics. We present a novel, multi-phase optimization approach for automatically generating WCAG-compliant colors while minimizing perceptual change to original design choices. Our method treats this as a constrained, non-linear optimization problem, utilizing the modern perceptually uniform OKLCH color space. Crucially, the optimization is constrained to preserve the original hue ($\\text{H}$) of the color, ensuring that modifications are strictly limited to necessary adjustments in lightness ($\\text{L}$) and chroma ($\\text{C}$). This is achieved through a three-phase sequence: binary search, gradient descent, and progressive constraint relaxation. Evaluation on a dataset of 10,000 procedurally generated color pairs demonstrates that the algorithm successfully resolves accessibility violations in $77.22\\%$ of cases, with $88.51\\%$ of successful corrections exhibiting imperceptible color difference ($ΔE_{2000} \u003c 2.0$) as defined by standard perceptibility thresholds. The median perceptual change for successful adjustments is only $0.76\\ ΔE_{2000}$, and the algorithm achieves this with a median processing time of $0.876\\text{ms}$ per color pair. The approach demonstrates that accessibility compliance and visual design integrity can be achieved simultaneously through a computationally efficient, perceptually-aware optimization that respects brand identity. The algorithm is publicly implemented in the open-source cm-colors Python library.","short_abstract":"Web accessibility guidelines require sufficient color contrast between text and backgrounds; yet, manually adjusting colors often necessitates significant visual deviation, compromising vital brand aesthetics. We present a novel, multi-phase optimization approach for automatically generating WCAG-compliant colors while...","url_abs":"https://arxiv.org/abs/2512.05067","url_pdf":"https://arxiv.org/pdf/2512.05067v1","authors":"[\"Lalitha A R\"]","published":"2025-12-04T18:26:05Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"math.OC\"]","methods":"[]","has_code":false}