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 want to ensure perfect compatibility (to the tenth decimal place) with certain third-party implementations, it may be necessary to modify the comments in the source code; the following link automates this operation for you.

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.

%>

k_l, k_c and k_h parameters

The parameters k_l, k_c and k_h in the CIEDE2000 formula are weighting factors applied to the brightness (Ξ”L*), chroma (Ξ”C*) and hue (Ξ”H*) components respectively. In the source code, they are defined as constants with a default value of 1, corresponding to the standard observation conditions laid down by the International Commission on Illumination (CIE). In practice, you might need to adjust these coefficients to reflect specific conditions: for example, k_l = 2 is sometimes used to give more weight to differences in brightness (a common occurrence in the textile industry), while k_c or k_h can be reduced to increase tolerance for variations in saturation or hue. In summary, these coefficients typically range from 0.5 to 2, with 1 being the most common value.

Source code accuracy and reliability

The difference between Sharma’s academic formulation and Lindbloom’s simplified formulation does not exceed Β±0.0003 on the final Ξ”E2000. The implementation presented here is 64-bit and guarantees more than 10 decimal places of precision; the choice of one formulation over another is, therefore, a technical detail. At the top of this page, you can choose between the two formulations; the one currently displayed is the simplified formulation.

How to determine if a given implementation of CIEDE2000 is academic or simplified?

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, the values of a* and b* are almost always limited to a range between -128 and +127, although the standard does not specify an official limit for these two components.

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

Ξ”E2000 (CIEDE2000) measures the perceived difference between two colors: 0 means the colors are identical, and higher values (up to 185 and more) indicate a larger difference. For example, a ΔE2000 value around 5 means the colors are close, while a value around 15 means they are clearly different. When the ΔE2000 value exceeds 40, the colors being compared have virtually nothing in common, and we can no longer derive any precise information from them.

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

Our test program, written in C99, includes 250 precise static tests. The results show that this CIEDE2000 function in VBScript is interoperable with the other 41 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 KB84
test-asp.yml6 KB47
reference-dataset.txt4 KB416
Click on asp.zip to receive all these files in an archive.

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