Colorimetry Training Course

Lesson 1 • The Nature of Visible Light

Covers electromagnetic radiation, wavelength ranges, and spectral power distribution. Connects physical light properties to the colorimetric quantities measured throughout the course.

Lesson 2 • Human Visual System Anatomy

Examines retinal structure, photoreceptor types, and neural pathways. Grounds later colorimetric models in the biological reality of human vision.

Lesson 3 • Trichromacy and Colour Matching

Introduces the trichromatic theory and Grassmann's laws. Provides the theoretical basis for all standard observer models used in colorimetry.

Lesson 1 • Measurement Geometry and Instrument Types

Covers 0/45, 45/0, d/8, and integrating sphere geometries. Students learn to match instrument geometry to material type for accurate colour measurement.

Lesson 2 • Photometric Quantities and Luminous Efficiency

Covers luminous flux, illuminance, luminance, and the V(lambda) function. Links radiometric measures to human brightness perception for practical lighting work.

Lesson 3 • Uncertainty and Measurement Quality

Addresses sources of measurement error, repeatability, and traceability. Ensures students can evaluate and report measurement quality in professional contexts.

Lesson 4 • Radiometric Quantities and Units

Defines radiant flux, irradiance, radiance, and related units. Establishes the measurement vocabulary required for all subsequent spectral calculations.

Lesson 1 • CIE 1964 Supplementary Observer

Introduces the 10° observer for large-field viewing conditions. Students learn when to substitute the 10° observer to improve colorimetric accuracy.

Lesson 2 • Correlated Colour Temperature

Explains blackbody radiation, Planckian locus, and CCT calculation. Connects illuminant characterisation to practical light source selection in industry.

Lesson 3 • CIE 1931 Standard Observer

Presents the 2° colour-matching functions x̄, ȳ, z̄ and their derivation. These functions are the computational core of all XYZ-based colorimetry.

Lesson 4 • Metamerism and Observer Variability

Analyses illuminant and observer metamerism with quantitative indices. Students learn to diagnose and minimise metamerism in colour-critical applications.

Lesson 1 • CIE 1976 UCS Diagram

Introduces the u'v' uniform chromaticity scale and its perceptual advantages. Addresses the non-uniformity of the 1931 diagram for colour difference estimation.

Lesson 2 • CIE 1931 xy Chromaticity Diagram

Converts XYZ to xy chromaticity and maps the spectral locus. Students interpret chromaticity plots to compare hue and saturation independent of luminance.

Lesson 3 • Computing XYZ Tristimulus Values

Derives the XYZ integrals from spectral reflectance, illuminant SPD, and CMFs. This calculation is the entry point for every subsequent colour space transformation.

Lesson 1 • CIELUV Colour Space

Presents L*, u*, v* coordinates and the CIELUV chroma-hue system. Contrasts CIELUV with CIELAB to guide appropriate space selection by application.

Lesson 2 • Hue, Chroma, and Lightness Perception

Analyses perceptual attributes of hue, chroma, brightness, and colourfulness. Connects psychophysical attributes to coordinate values in uniform colour spaces.

Lesson 3 • Colour Appearance Models Overview

Surveys CIECAM02 and CAM16 model structure and input parameters. Prepares students to apply appearance models where simple colorimetry is insufficient.

Lesson 4 • CIELAB Colour Space

Derives L*, a*, b* coordinates and their perceptual meaning. CIELAB is the industry-standard space for colour specification and difference calculation.

Lesson 1 • CIE76 and CMC Colour Difference Formulas

Calculates Delta E*ab and CMC(l:c) with weighting functions. Identifies conditions where each formula outperforms simple Euclidean CIELAB distance.

Lesson 2 • CIE94 and CIEDE2000 Formulas

Derives CIE94 and CIEDE2000 with their parametric and hue-rotation corrections. CIEDE2000 is the current recommended formula for most industrial applications.

Lesson 3 • Colour Tolerancing in Industry

Applies pass/fail tolerancing, ellipsoidal tolerance volumes, and process capability. Students design tolerance specifications aligned with visual acceptability data.

Lesson 4 • Basic Colour Difference Concepts

Defines just-noticeable differences, threshold ellipses, and delta E notation. Establishes the perceptual foundation for all quantitative colour difference formulas.

Lesson 1 • Flicker, Temporal Modulation, and Visual Comfort

Covers flicker metrics, percent flicker, and flicker index for LED drivers. Connects temporal light modulation to visual comfort and health considerations.

Lesson 2 • Evaluating Sources for Colour-Critical Tasks

Applies rendering metrics to retail, museum, medical, and print viewing booths. Students produce a structured light source specification for a given application.

Lesson 3 • Limitations of CRI and Alternative Metrics

Identifies Ra failures with LED and narrow-band sources and introduces IES TM-30 Rf and Rg. Students compare metrics to select the most informative measure.

Lesson 4 • Spectral Power Distribution Design

Analyses how SPD shape affects colour rendering, efficacy, and metamerism risk. Students optimise SPD trade-offs for specific lighting application requirements.

Lesson 1 • Colour Communication and Specification

Covers physical standards, digital colour data formats, and spectral data exchange. Establishes protocols that ensure consistent colour intent across supply chains.

Lesson 2 • Digital Colour Workflows and ICC Profiles

Explains ICC profile structure, profile connection space, and rendering intents. Students manage colour through capture, display, and print in a managed workflow.

Lesson 3 • Instrumental Colour Quality Control

Designs measurement protocols, control charts, and corrective action triggers. Students build a QC system that detects colour drift before product reaches customers.

Lesson 4 • Colour Formulation and Recipe Prediction

Introduces Kubelka-Munk theory and computer colour matching algorithms. Students understand how colorant recipes are predicted and optimised instrumentally.