This is a 5,840-byte text/plain file, placed in the public domain, which has been consulted 140 times since the year 2026.
using System;
public class CIE {
// This function written in C# is not affiliated with the CIE (International Commission on Illumination),
// and is released into the public domain. It is provided "as is" without any warranty, express or implied.
// The classic CIE ΔE2000 implementation, which operates on two L*a*b* colors, and returns their difference.
// "l" ranges from 0 to 100, while "a" and "b" are unbounded and commonly clamped to the range of -128 to 127.
static double ciede_2000(double l_1, double a_1, double b_1, double l_2, double a_2, double b_2) {
// Working in C# (.NET Core) with the CIEDE2000 color-difference formula.
// k_l, k_c, k_h are parametric factors to be adjusted according to
// different viewing parameters such as textures, backgrounds...
const double k_l = 1.0, k_c = 1.0, k_h = 1.0;
double n = (Math.Sqrt(a_1 * a_1 + b_1 * b_1) + Math.Sqrt(a_2 * a_2 + b_2 * b_2)) * 0.5;
n = n * n * n * n * n * n * n;
// A factor involving chroma raised to the power of 7 designed to make
// the influence of chroma on the total color difference more accurate.
n = 1.0 + 0.5 * (1.0 - Math.Sqrt(n / (n + 6103515625.0)));
// Application of the chroma correction factor.
double c_1 = Math.Sqrt(a_1 * a_1 * n * n + b_1 * b_1);
double c_2 = Math.Sqrt(a_2 * a_2 * n * n + b_2 * b_2);
// atan2 is preferred over atan because it accurately computes the angle of
// a point (x, y) in all quadrants, handling the signs of both coordinates.
double h_1 = Math.Atan2(b_1, a_1 * n), h_2 = Math.Atan2(b_2, a_2 * n);
if (h_1 < 0.0) h_1 += 2.0 * Math.PI;
if (h_2 < 0.0) h_2 += 2.0 * Math.PI;
n = Math.Abs(h_2 - h_1);
// Cross-implementation consistent rounding.
if (Math.PI - 1E-14 < n && n < Math.PI + 1E-14)
n = Math.PI;
// When the hue angles lie in different quadrants, the straightforward
// average can produce a mean that incorrectly suggests a hue angle in
// the wrong quadrant, the next lines handle this issue.
double h_m = (h_1 + h_2) * 0.5, h_d = (h_2 - h_1) * 0.5;
if (Math.PI < n) {
h_d += Math.PI;
// 📜 Sharma’s formulation doesn’t use the next line, but the one after it,
// and these two variants differ by ±0.0003 on the final color differences.
h_m += Math.PI;
// if (h_m < Math.PI) h_m += Math.PI; else h_m -= Math.PI;
}
double p = 36.0 * h_m - 55.0 * Math.PI;
n = (c_1 + c_2) * 0.5;
n = n * n * n * n * n * n * n;
// The hue rotation correction term is designed to account for the
// non-linear behavior of hue differences in the blue region.
double r_t = -2.0 * Math.Sqrt(n / (n + 6103515625.0))
* Math.Sin(Math.PI / 3.0 * Math.Exp(p * p / (-25.0 * Math.PI * Math.PI)));
n = (l_1 + l_2) * 0.5;
n = (n - 50.0) * (n - 50.0);
// Lightness.
double l = (l_2 - l_1) / (k_l * (1.0 + 0.015 * n / Math.Sqrt(20.0 + n)));
// These coefficients adjust the impact of different harmonic
// components on the hue difference calculation.
double t = 1.0 + 0.24 * Math.Sin(2.0 * h_m + Math.PI * 0.5)
+ 0.32 * Math.Sin(3.0 * h_m + 8.0 * Math.PI / 15.0)
- 0.17 * Math.Sin(h_m + Math.PI / 3.0)
- 0.20 * Math.Sin(4.0 * h_m + 3.0 * Math.PI / 20.0);
n = c_1 + c_2;
// Hue.
double h = 2.0 * Math.Sqrt(c_1 * c_2) * Math.Sin(h_d) / (k_h * (1.0 + 0.0075 * n * t));
// Chroma.
double c = (c_2 - c_1) / (k_c * (1.0 + 0.0225 * n));
// Returning the square root ensures that dE00 accurately reflects the
// geometric distance in color space, which can range from 0 to around 185.
return Math.Sqrt(l * l + h * h + c * c + c * h * r_t);
}
// GitHub Project : https://github.com/michel-leonard/ciede2000-color-matching
// Online Tests : https://michel-leonard.github.io/ciede2000-color-matching
// L1 = 20.0 a1 = 11.8 b1 = 3.5
// L2 = 18.4 a2 = 17.0 b2 = -4.7
// CIE ΔE00 = 7.0120052868 (Bruce Lindbloom, Netflix’s VMAF, ...)
// CIE ΔE00 = 7.0119920316 (Gaurav Sharma, OpenJDK, ...)
// Deviation between implementations ≈ 1.3e-5
// See the source code comments for easy switching between these two widely used ΔE*00 implementation variants.
///////////////////////////////////////////////
///////////////////////////////////////////////
/////// ///////
/////// CIEDE 2000 ///////
/////// Testing Random Colors ///////
/////// ///////
///////////////////////////////////////////////
///////////////////////////////////////////////
// This C# (.NET Core) program outputs a CSV file to standard output, with its length determined by the first CLI argument.
// Each line contains seven columns :
// - Three columns for the random standard L*a*b* color
// - Three columns for the random sample L*a*b* color
// - And the seventh column for the precise Delta E 2000 color difference between the standard and sample
// The output will be correct, this can be verified :
// - With the C driver, which provides a dedicated verification feature
// - By using the JavaScript validator at https://michel-leonard.github.io/ciede2000-color-matching
static Random random = new Random();
static double RandomDouble(double min, double max) {
return Math.Round(min + (max - min) * random.NextDouble(), random.Next(0, 3));
}
public static void Test(int count) {
for (int i = 0; i < count; ++i) {
double l1 = RandomDouble(0.0, 100.0);
double a1 = RandomDouble(-128.0, 128.0);
double b1 = RandomDouble(-128.0, 128.0);
double l2 = RandomDouble(0.0, 100.0);
double a2 = RandomDouble(-128.0, 128.0);
double b2 = RandomDouble(-128.0, 128.0);
double deltaE = ciede_2000(l1, a1, b1, l2, a2, b2);
Console.WriteLine($"{l1},{a1},{b1},{l2},{a2},{b2},{deltaE}");
}
}
}
int count = Convert.ToInt32(Args.Count == 0 ? "10000" : Args[0]);
CIE.Test(count);