MunsellSpace 🎨
High-precision sRGB to Munsell color space conversion library with ISCC-NBS color naming system support.
Overview
MunsellSpace is a high-performance Rust library for converting sRGB colors to Munsell color notation and ISCC-NBS color names. This implementation is based on the mathematical algorithms from the Python Colour Science library, providing accurate color space transformations with comprehensive thread safety support.
✨ Features
- High-Precision Conversion: Multiple mathematical conversion algorithms with configurable illuminants
- ISCC-NBS Classification: Convert colors to standardized ISCC-NBS color names (267 categories)
- Multiple Illuminants: Support for C, D65, and F7 illuminants with chromatic adaptation
- Thread-Safe Architecture: Full
Send + Syncsupport for concurrent processing - Comprehensive API: Support for RGB, Lab, and hex color input formats
- Performance Optimized: Efficient caching and parallel processing capabilities
- Scientific Accuracy: Based on established color science algorithms and standards
🚀 Quick Start
Installation
Add to your Cargo.toml:
[]
= "1.0"
Basic Usage
use ;
📊 Color Systems
Munsell Color System
The Munsell color system describes colors using three perceptually uniform dimensions:
- Hue: Color family (R, YR, Y, GY, G, BG, B, PB, P, RP)
- Value: Lightness from 0 (black) to 10 (white)
- Chroma: Saturation from 0 (neutral) to variable maximum
Notation Format: HUE VALUE/CHROMA (e.g., 5R 4.0/14.0)
ISCC-NBS Color System
The Inter-Society Color Council - National Bureau of Standards (ISCC-NBS) system provides standardized color names for 267 distinct color categories. Each color is defined by:
- Numerical identifier (1-267)
- Descriptive name (e.g., "vivid red", "light grayish blue")
- Polygonal region in Munsell color space
🔬 Technical Details
Mathematical Conversion Pipeline
The library implements a sophisticated color conversion pipeline:
- sRGB → Linear RGB: Gamma correction removal
- Linear RGB → XYZ: Color space transformation (ITU-R BT.709)
- XYZ → xyY: Chromaticity and luminance separation
- Chromatic Adaptation: Optional adaptation between illuminants
- xyY → Munsell: Mathematical transformation to Munsell notation
- Munsell → ISCC-NBS: Geometric point-in-polygon classification
Supported Illuminants
- C: Traditional daylight (used in original Munsell specifications)
- D65: Standard daylight (sRGB native illuminant)
- F7: Fluorescent light source
Chromatic Adaptation Methods
- XYZ Scaling: Simple von Kries transformation
- Bradford: More sophisticated adaptation matrix
- CAT02: Advanced chromatic adaptation transform
🔒 Thread Safety
All public types implement Send + Sync for safe concurrent usage:
use ;
use Arc;
use thread;
let converter = new;
let classifier = new;
let mut handles = vec!;
for thread_id in 0..4
for handle in handles
📈 Performance
- Single conversion: <1ms per color
- Batch processing: 4,000+ colors/second
- Memory usage: <100MB for complete reference dataset
- Caching: Automatic result caching for repeated conversions
📚 API Documentation
For detailed API documentation, visit docs.rs/munsellspace.
Key modules:
converter: Core Munsell conversion functionalityiscc: ISCC-NBS classification systemtypes: Color type definitions and validationilluminants: Illuminant definitions and adaptationmathematical: Mathematical conversion algorithms
🛠️ Development
Building from Source
# Clone repository
# Build library
# Run tests
# Run benchmarks
# Generate documentation
Testing
# Run all tests
# Run with output
# Run specific test
# Run benchmarks
🙏 Acknowledgments & Credits
This library builds upon decades of color science research and open-source contributions:
Core Algorithms
- Python Colour Science: This implementation is based on the mathematical algorithms from the Python
colour-sciencelibrary, specifically the Munsell color notation conversion functions. We are deeply grateful for their comprehensive and well-documented implementation. - Paul Centore's Munsell Research: This library incorporates methodology from Dr. Paul Centore's work on sRGB-to-Munsell conversion, including his chromatic adaptation techniques and validation datasets.
Scientific References
- Semantic Color Names: Centore, P. (2020). Beige, aqua, fuchsia, etc.: Definitions for some non-basic surface colour names. Journal of the International Colour Association, 25, 24-54. The 30 semantic color overlays in this library are derived from the convex polyhedra defined in this paper.
- Munsell Renotation Data: Based on the original Munsell renotation studies (1943) and subsequent refinements
- ISCC-NBS Method of Designating Colors: Kelly, K.L. & Judd, D.B. (1976). Color: Universal Language and Dictionary of Names
- CIE Standards: International Commission on Illumination specifications for color spaces and illuminants
- ITU-R BT.709: International standard for sRGB color space transformation
Data Sources
- Munsell Renotation Dataset: Original renotation data from the Munsell Color Science Laboratory
- ISCC-NBS Definitions: The 267 color categories and Munsell-space boundaries are derived from the Inter-Society Color Council (ISCC) and National Bureau of Standards (NBS) publications
- Reference RGB Values: Validated sRGB to Munsell mappings from multiple sources
Community
- The Rust community for excellent tooling and support
- Contributors to the color science field for their research and publications
- Open-source maintainers who make scientific computing accessible
🤝 Contributing
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🔗 Links
- Repository: github.com/chrisgve/MunsellSpace
- Documentation: docs.rs/munsellspace
- Issue Tracker: GitHub Issues
- Python Colour Science: colour-science/colour
- Munsell Color System: munsell.com
MunsellSpace - High-precision color space conversion for Rust 🦀