We present HELMLAB, a 72-parameter analytical color space for UI design systems. The forward transform maps CIE XYZ to a perceptually-organized Lab representation through learned matrices, per-channel power compression, Fourier hue correction, and embedded Helmholtz-Kohlrausch lightness adjustment. A post-pipeline neutral correction guarantees that achromatic colors map to a=b=0 (chroma < 10^-6), and a rigid rotation of the chromatic plane improves hue-angle alignment without affecting the distance metric, which is invariant under isometries. On the COMBVD dataset (3,813 color pairs), HELMLAB achieves a STRESS of 23.22, a 20.4% reduction from CIEDE2000 (29.18). Cross-validation on He et al. 2022 and MacAdam 1974 shows competitive cross-dataset performance. The transform is invertible with round-trip errors below 10^-14. Gamut mapping, design-token export, and dark/light mode adaptation utilities are included for use in web and mobile design systems.

翻译：本文提出HELMLAB，一种面向UI设计系统的72参数分析型色彩空间。其正向变换通过学习的矩阵、逐通道幂次压缩、傅里叶色调校正以及内嵌的亥姆霍兹-科尔劳施明度调整，将CIE XYZ映射至感知组织的Lab表示。后处理流水线中的中性色校正确保非彩色映射至a=b=0（色度<10^-6），而色度平面的刚性旋转在保持距离度量（在等距变换下不变）不受影响的前提下优化了色调角对齐。在COMBVD数据集（3,813个色彩对）上，HELMLAB取得了23.22的STRESS值，较CIEDE2000（29.18）降低了20.4%。在He等人（2022）和MacAdam（1974）数据上的交叉验证展示了具有竞争力的跨数据集性能。该变换可逆，往返误差低于10^-14。空间内集成了色域映射、设计令牌导出及深色/浅色模式适配工具，适用于网页与移动端设计系统。