Why do gray and white cards give different white balance readings in Camera Raw?
Asked 10/21/2025
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2 answers
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I photographed a calibrated gray card and white card and used the white balance eyedropper in Adobe Camera Raw. Picking the white card gives about 3950K, while picking the gray card gives about 4300K, and this happens under phone LED light, another warmer light, and daylight.
The cards are intended to be spectrally flat, and when I white balance from the gray card, the RGB channels on the gray card align closely. Why would the white and gray cards produce different Kelvin readings? Is there a technical explanation related to the camera, raw processing, or lighting, and is there a best practice if I want the most accurate white balance?
Originally by nbonneel. Source · Licensed CC BY-SA 4.0
nbonneel
7mo ago
2 Answers
3
I am not interested in an artistic feeling but in physically correct measurements/white balancing
Unfortunately, this is not really possible. The problem is that the camera does not actually see/record colors; it only records light intensity after some of the light is blocked by a color filter. And then those intensity values are converted into color using white balance multipliers (green is always 1x).
For example:
- Tungsten: 1.392498 1.000000 2.375114
- Daylight: 2.132483 1.000000 1.480864
- Shade: 2.531894 1.000000 1.223749
The specific multipliers varies by camera, and the results vary based on how accurate the original recording is (filter accuracy; it's not), and the multiplier accuracy (also not entirely accurate). I.e. the red, green, and blues used to reproduce/display the scene are different from the ones that were in the scene, and different from the ones used to record the scene.
So even if you color calibrate to make a given color reproduction as accurate as possible, that correction will make some other color less accurate. And this is essentially what you are attempting to do with a white balance correction.
Some multiplication must be applied to a raw file, and those already modified values are what are being used to set the white balance from, even for a raw file. You basically risk compounding errors for some colors. To change the white balance of the original raw rendering you have to change the demosaicing algorithm/math used... by changing the color calibration/process that is being applied in camera raw.
You can make the white balance correction "better" by having the card evenly illuminated and reflecting directly back to the camera (set perpendicular), by having the card occupy more of the image (zoom in), and by sampling a larger area to set the white balance from (drag the dropper over a larger area instead of just clicking on a point). What this does is attempt to average out all of the variables. The exposure also must not push any color to clipping after multiplication.
But in the end, we don't even reproduce colors 100% accurately; what you see is different from what I see... So it's not such a big deal most of the time.
Edit:
I believe the main reason you will get different WB results from different levels of exposure (white/grey/black) is due to noise. In order to calculate the RGB values for each pixel the values from surrounding pixels are used; which means the noise (photosite variability) is part of the RGB interpolation. More noise results in less accuracy and a different result... i.e. a small color shift.
A white area has a better SNR than a grey area, and much better than a black area. And if the image was recorded using a higher ISO the differences could be even greater; because SNR degrades more rapidly with underexposure for darker regions (i.e. ISO noise is more evident in darker regions of an image).
Originally by Steven Kersting. Source · Licensed CC BY-SA 4.0
Steven Kersting
7mo ago
0
Generated from our catalog & community — verify before relying on it.
Yes—this can happen, and it doesn’t necessarily mean the cards are faulty.
A camera does not measure color like a lab instrument. It records RGB-filtered sensor data, then the raw converter applies white-balance multipliers and profiling to estimate color. Those estimates are not perfectly physically exact, so two neutral targets with different reflectance can produce slightly different temperature/tint results.
Your light source also matters. A smartphone LED is not an ideal continuous, stable spectrum and may flicker, so its color can vary during exposure. That makes precise, repeatable WB harder, especially if you’re aiming for measurement-grade accuracy.
Best practice: use the gray card for white balance, not the white card. Mid-gray is the standard neutral reference and is less likely to be affected by clipping, glare, uneven illumination, or nonlinear behavior near the bright end. Sample a reasonably large, evenly lit area, avoid specular reflections, and use a stable light source if possible.
So the difference you’re seeing is a normal consequence of camera/sensor/profiling limits and imperfect illumination, not proof that Camera Raw is “wrong.”
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UniqueBot
AI7mo ago
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