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I was taking photos of snow sculptures at night, and I noticed something strange on my Olympus O-MD E-M10 Mark II.

This green lit sculpture

enter image description here

when the green channel gets blown, turns blue

enter image description here

and then eventually turns white.

Why would the green channel clip this way?

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  • \$\begingroup\$ Essentially the same phenomenon as I described in this answer about red turning orange in bright light. \$\endgroup\$ Feb 15, 2018 at 18:10

2 Answers 2

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The light you describe as "green" also contains components of "red" and "blue" light. They are much weaker than the green component, but they are there.

Once the exposure is bright enough for the green channel to be fully saturated, increasing the exposure further can not increase the value recorded in the green channel to more than 100%. If green is fully saturated at 1/100 second it will show the green channel at 100%. If we double the exposure time to 1/50 second, green will still be recorded at 100%. That is the maximum value that can be recorded for each channel.

Increasing the exposure further does increase the value recorded in the red and blue channels until exposure reaches a point for each where they too are fully saturated. Look at it this way: if there is 10X as much green as blue reflected by your sculpture, exposing ten times brighter than needed to fully saturate the green channel will result in fully saturating both the green and the blue channels. The camera will have no way of showing that green is 10X brighter than blue. It will show both channels at the same value: 100%.

When all three channels are fully saturated we get pure white. It matters not that there is much more green than red or blue light striking the sensor. As long as there is at least just enough of each color to fully saturate each color channel we will see that area rendered as white.

Also, the Bayer masks on digital sensors do not have hard cutoff points between colors: some green light gets through the red and blue filters, some red and blue light gets through the green filter, and so on.

enter image description here
The blue line shows what percentage of light along the entire visible spectrum is counted by the blue-filtered sensels of the Sony IMX249 sensor. The green and red lines show the same for green and red filtered sensels. Notice that above about 820nm all three are more or less equally sensitive. That is why digital sensors have an IR filter in the sensor stack. Also notice that the response of the red and green filtered sensels begins to increase as the wavelength moves below 420nm, which is why a UV filter is also included in the sensor stack.

It's much like when we use a color filter on the lens for shooting black and white film. If we use a red filter some of the light from green and blue objects still makes it through the filter. Those green and blue objects just appear darker than they otherwise would. But they do not become totally black.

So even if the light illuminating your sculpture was pure green, some of that light would get through the red and blue filters on your camera's sensor and be registered by the "red" and "blue" pixel wells. Overexpose bright enough and you will fully saturate all three channels.

From a comment:

That we can see blue objects through red filter doesn't necessarily imply that the filter passes significant amount of blue. It may just mean that the blue object has significant reflection in the red part of spectrum. E.g. #3f00ff color is also blue, but has non-negligible red component.

Regardless of the wavelength, light that passes through the red filter is included in the single monochromatic luminance value for the red filtered pixels. It matters not if the light is red, green, or blue - the photons allowed to pass into that sensel (pixel well) are all recorded the same. It's just that a higher percentage of the red light that falls on a red filter is allowed through than the percentage of blue light that falls on a red filter. But what gets through is counted as photons, not red photons or blue photons or green photons.

Essentially what we have with a raw file from a Bayer masked digital sensor is three monochrome images: One made up of half the sensor's pixels filtered for green, one made up of one quarter of the sensor's pixels wells filtered for red, and one made up of one quarter of the sensor's pixel wells filtered for blue. Just as with shooting black and white film with color filters, some light from the entire visible spectrum will make it through each filter. We can take three B&W prints filtered for the three color channels and combine them to produce a color print. Digital is the same principle. So are the way the cones in the human retina work.

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    \$\begingroup\$ That we can see blue objects through red filter doesn't necessarily imply that the filter passes significant amount of blue. It may just mean that the blue object has significant reflection in the red part of spectrum. E.g. #3f00ff color is also blue, but has non-negligible red component. \$\endgroup\$
    – Ruslan
    Feb 15, 2018 at 14:45
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    \$\begingroup\$ @Ruslan: A similar effect occurs in human vision if a bright strobe light is positioned behind a color filter. If the light weren't so bright as to saturate the retina, it would be visibly red, but if it's bright enough to saturate everything it appears white. \$\endgroup\$
    – supercat
    Feb 15, 2018 at 17:38
  • \$\begingroup\$ @Ruslan Regardless of the wavelength, light that passes through the red filter is included in the single monochromatic luminance value for the red filtered pixels. It matters not if the light is red, green, or blue - the photons allowed to pass into that sensel (pixel well) are all recorded the same. It's just that a higher percentage of the red light that falls on a red filter is allowed through than the percentage of blue light that falls on a red filter. But what gets through is counted as photons, not red photons or blue photons or green photons. \$\endgroup\$
    – Michael C
    Feb 15, 2018 at 18:00
  • \$\begingroup\$ Essentially what we have with a raw file from a Bayer masked digital sensor is three monochrome images: One made up of half the sensor's pixels filtered for green, one made up of one quarter of the sensor's pixels wells filtered for red, and one made up of one quarter of the sensor's pixel wells filtered for blue. Just as with shooting black and white film with color filters, some light from the entire visible spectrum will make it through each filter. We can take three B&W prints filtered for the three color channels and combine them to produce a color print. Digital is the same principle. \$\endgroup\$
    – Michael C
    Feb 15, 2018 at 18:11
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Why is it that when the green channel clips, it turns into blue?

Actually, it turns towards magenta. Look more closely at your picture.

When green clips and the other two channels (red, blue) don't, the result is basically lowering green. Lowering green has the same effect on hue as raising red and blue. Red+blue is magenta, so lowering green by itself makes the hue more magenta.

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    \$\begingroup\$ I think you're mistaken. I can't see any region where green has become magenta. And why should it? I think you've forgotten that all the regions that you're talking about have green at 100%. So something that was rgb=(10%,100%,10%) (intense green) might become rgb=(50%,100%,50%) but that's not magenta -- it's a less intense, somewhat greyish green. Any colour that gets produced after the green channel clips still has 100% green, so isn't remotely magenta. Sure, it's "more magenta" than it was before, but it will be seen as something between almost pure green and pure white. \$\endgroup\$ Feb 15, 2018 at 18:08
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    \$\begingroup\$ The green parts become cyan and then white; the magenta parts of the second image were already magenta in the first one. \$\endgroup\$ Feb 15, 2018 at 18:09
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    \$\begingroup\$ OK, but you claim that "Actually, it turns into magenta" and it doesn't. And you said the asker should look more closely at their picture, presumably to correct their misconception that green is turning into blue. But the green really does turn into cyan; looking more closely will only confirm that. \$\endgroup\$ Feb 15, 2018 at 18:25
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    \$\begingroup\$ I'd reword into to towards \$\endgroup\$
    – clabacchio
    Feb 16, 2018 at 11:09
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    \$\begingroup\$ @clabacchio: Done. \$\endgroup\$ Feb 16, 2018 at 12:29

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