CIEDE2000 implementation in VBScript

Function version: v1.0.0
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This page presents a reference implementation of the CIEDE2000 color difference formula in VBScript. If you wish to obtain an exact match with third-party implementations up to 10 decimal places, you may need to make some changes to the source code, including commenting and uncommenting a few lines, which can be applied automatically via the link below.

Diagram of the full-form CIEDE2000 formula with L*a*b* components and adjustments

The ΔE2000 function in VBScript

Let’s consider the more common and academic (Sharma, 2005) of the two formulations.

<%
' This function written in VBScript 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.

' Prevents errors due to typos or undeclared variables.
Option Explicit

' The classic CIE Ξ”E2000 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.
Public Function ciede_2000(l_1, a_1, b_1, l_2, a_2, b_2)
	' Working in ASP Classic 3.0 (IIS 10.0) 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 M_PI = 3.14159265358979323846264338328, k_l = 1.0, k_c = 1.0, k_h = 1.0
	Dim n, c_1, c_2, h_1, h_2, h_m, h_d, p, r_t, l, t, h, c
	n = (Sqr(a_1 * a_1 + b_1 * b_1) + Sqr(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 - Sqr(n / (n + 6103515625.0)))
	' Application of the chroma correction factor.
	c_1 = Sqr(a_1 * a_1 * n * n + b_1 * b_1)
	c_2 = Sqr(a_2 * a_2 * n * n + b_2 * b_2)
	' Using 14 lines to simulate atan2, as VBScript does not have this built-in.
	If 0.0 < a_1 Then
		h_1 = Atn(b_1 / (a_1 * n)) - (b_1 < 0.0) * 2.0 * M_PI
	ElseIf a_1 < 0.0 Then
		h_1 = Atn(b_1 / (a_1 * n)) + M_PI
	Else
		h_1 = M_PI + ((0.0 < b_1) - (b_1 < 0.0)) * 0.5 * M_PI
	End If
	If 0.0 < a_2 Then
		h_2 = Atn(b_2 / (a_2 * n)) - (b_2 < 0.0) * 2.0 * M_PI
	ElseIf a_2 < 0.0 Then
		h_2 = Atn(b_2 / (a_2 * n)) + M_PI
	Else
		h_2 = M_PI + ((0.0 < b_2) - (b_2 < 0.0)) * 0.5 * M_PI
	End If
	' The atan2 polyfill (customized) is complete.
	n = Abs(h_2 - h_1)
	' Cross-implementation consistent rounding.
	If M_PI - 1E-14 < n And n < M_PI + 1E-14 Then n = M_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.
	h_m = (h_1 + h_2) * 0.5
	h_d = (h_2 - h_1) * 0.5
	If M_PI < n Then
		h_d = h_d + M_PI
		' πŸ“œ Sharma’s formulation doesn’t use the next line, but the one after it,
		' and these two variants differ by Β±0.0003 on the final color differences.
		h_m = h_m + M_PI
		' If h_m < M_PI Then h_m = h_m + M_PI Else h_m = h_m - M_PI
	End If
	p = 36.0 * h_m - 55.0 * M_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.
	r_t = -2.0 * Sqr(n / (n + 6103515625.0)) _
			* Sin(M_PI / 3.0 * Exp(p * p / (-25.0 * M_PI * M_PI)))
	n = (l_1 + l_2) * 0.5
	n = (n - 50.0) * (n - 50.0)
	' Lightness.
	l = (l_2 - l_1) / (k_l * (1.0 + 0.015 * n / Sqr(20.0 + n)))
	' These coefficients adjust the impact of different harmonic
	' components on the hue difference calculation.
	t = 1.0		+ 0.24 * Sin(2.0 * h_m + M_PI * 0.5) _
			+ 0.32 * Sin(3.0 * h_m + 8.0 * M_PI / 15.0) _
			- 0.17 * Sin(h_m + M_PI / 3.0) _
			- 0.2 * Sin(4.0 * h_m + 3.0 * M_PI / 20.0)
	n = c_1 + c_2
	' Hue.
	h = 2.0 * Sqr(c_1 * c_2) * Sin(h_d) / (k_h * (1.0 + 0.0075 * n * t))
	' Chroma.
	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.
	ciede_2000 = Sqr(l * l + h * h + c * c + c * h * r_t)
End Function

' GitHub Project : https://github.com/michel-leonard/ciede2000-color-matching
'   Online Tests : https://michel-leonard.github.io/ciede2000-color-matching

' L1 = 15.8   a1 = 48.0   b1 = 2.4
' L2 = 15.2   a2 = 53.8   b2 = -2.4
' CIE Ξ”E00 = 2.9971560512 (Bruce Lindbloom, Netflix’s VMAF, ...)
' CIE Ξ”E00 = 2.9971426307 (Gaurav Sharma, OpenJDK, ...)
' Deviation between implementations β‰ˆ 1.3e-5

' See the source code comments for easy switching between these two widely used Ξ”E*00 implementation variants.

%>

Source code accuracy and reliability

The difference between Sharma and Lindbloom formulations never exceeds Β±0.0003 on the final Ξ”E2000, which corresponds to the usual difference measured between two 32-bit implementations and is imperceptible to the human eye. Our 64-bit implementations, all consistent with each other, guarantee at least 10 correct decimal places, so choosing one formulation over another mainly depends on the desired interoperability. The formulation that appears by default on this page is the most commonly used (its micro-advantage lies in its community anchoring and its greater lightness than its analog when vectorized).

✎ If you find a comment in the source code that does not correspond to another language, please inform the author of the site, who will study your suggestion and incorporate it into the source code.

How do you convert RGB colors to L*a*b*?

Go to the AWK, C, Dart, Java, JavaScript, Kotlin, Lua, PHP, Python, Ruby or Rust page where such a converter (using D65 illuminant) is already implemented in addition to the color comparison function.

CIELAB value ranges and interpretation of the Ξ”E2000

In the CIELAB color space, the L* component represents lightness and typically ranges from 0 (black) to 100 (white). The a* and b* components represent color axes: a* goes from green to red, while b* goes from blue to yellow. In practice, a* and b* values usually fall between -128 and +127, although they can slightly exceed these limits depending on the color conversion.

Example of two colors presenting a just-noticeable difference (JND) according to CIEDE2000
Color 1Color 2Value of Ξ”E2000
1
2
3
Examples of CIEDE2000 values calculated between two distinct colors
Color 1Color 2Value of Ξ”E2000
5
10
15

k_l, k_c and k_h Parameters

The parameters k_l, k_c, and k_h are weighting factors applied to the lightness (Ξ”L*), chroma (Ξ”C*), and hue (Ξ”H*) terms in the CIEDE2000 formula. Their default value is 1, which corresponds to the standard viewing conditions recommended by the International Commission on Illumination. In practice, these coefficients are adjusted to reflect specific conditions: for example, k_l = 2 is sometimes used to give more weight to lightness differences (common in printing), while k_c or k_h may be reduced to increase tolerance to saturation or hue variations depending on quality control requirements. Depending on the context, these coefficients typically range between 0.5 and 2.

Ξ”E2000 (CIEDE2000) measures the perceived difference between two colors: 0 means the colors are identical, and higher values (up to around 185 in extreme cases) indicate a larger difference. For example, a Ξ”E2000 value around 5 means the colors are close, while a value around 15 means they are clearly different.

Example of use in VBScript

' Compute the Delta E (CIEDE2000) color difference between two L*a*b* colors in ASP

' Color 1: L1 = 28.9, a1 = 47.5, b1 = 2.0
' Color 2: L2 = 28.8, a2 = 41.6, b2 = -1.7

Dim deltaE
deltaE = ciede_2000(L1, a1, b1, L2, a2, b2)
Response.Write "ΔE2000 = " & deltaE

' .................................................. This shows a ΔE2000 of 2.7749016764
' As explained in the comments, compliance with Gaurav Sharma would display 2.7749152801

Test results

The driver, written in the C99 language and featuring 250 precise static tests, has proved that this VBScript function is interoperable with the CIEDE2000 function available in other programming languages.

CIEDE2000 Verification Summary :
  First Verified Line : 27,-123,101,44,-30,122,29.9893728174531
             Duration : 41.49 s
            Successes : 10000000
               Errors : 0
      Average Delta E : 63.2072
    Average Deviation : 8.8e-15
    Maximum Deviation : 2.8e-13

Files to download

Feel free to use these files provided by Michel, even for commercial purposes.

Site statistics : downloads
FileSizeNumber of clicks
ciede-2000.asp4 KB57
test-asp.yml6 KB39
reference-dataset.txt4 KB321
Click on asp.zip to receive all these files in an archive.

Community

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