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Color Correction Advice


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Attached is an image of an art print that has a color patch to left. Is it possible to do color correction with all of the color patches in Photoshop or another program?

 

The problem is the color values of the original color patches are unknown. I am under the impression that a color checker software with a known calibrated target is required eg. Xrite.

 

I figured the best I can do is set the white balance and white and dark levels. I have 100 of these files to adjust. I suspect the corrections may all be the same if they were photographed at the same time and lighting conditons..

 

I have a book that has high quality images of the same prints, so I can visually adjust each one by one.

 

I plan to publish these photos in a book.

 

The other idea I had is that I have access to a color corrected file of the same print different edition. I could write a program in Matlab to look at the color difference between the two prints and create a normalization file to match the colors of the two prints. The color corrected file version copyrighted so I can't use it directly. Getting the two files aligned and registered will take a lot of work and might required some machine learning algorithm to do it successfully. It might be best to do it my eye.

 

image.png.06f36db106cd21964b36a74b991d1d64.png

Edited by dfperrault
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I think you could color balance the photo using the photographed grey scale. Next (if you plan to print it) you could set the values of darks and lights in the print itself in CMYK. It depends on paper used, machine type etc. so it is best to ask the printing house about details.
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That isn't a MacBeth ColorChecker but there should be published Lab values of this target and easier still, in an RGB Working Space, all gray patches should be equal RGB (neutral) or as close as you can get depending on the data (encoding) and where the WB is applied.

I think I have that target around the color museum somewhere and can measure the individual color patches and produce LAB.

Author “Color Management for Photographers" & "Photoshop CC Color Management" (pluralsight.com)

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I think this may be more difficult than you think.

 

I assume that what you have posted is a photo of color patches sitting next to a page of a book (or in any case, next to a print). Changing color balance using the color patches would take care of errors in capturing and displaying the image. (using the gray scale, I got a shift of +11 toward magenta and +1 toward yellow in Adobe Camera Raw.) However, if the paper itself has yellowed with age--which looks to be the case here--using the color patches won't address that problem.

 

I've been mulling over exactly this issue with some artwork that was done on paper that has deteriorated and yellowed quite badly. One could guess what white the margins should be and adjust accordingly, but that would distort the colors, which show the underlying medium to varying degrees. I haven't figure out how best to do this, but perhaps someone else here has more experience.

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That isn't a MacBeth ColorChecker but there should be published Lab values of this target and easier still, in an RGB Working Space, all gray patches should be equal RGB (neutral) or as close as you can get depending on the data (encoding) and where the WB is applied.

I think I have that target around the color museum somewhere and can measure the individual color patches and produce LAB.

 

 

Rodney, Thank you. I wrote haiku for all one hundred prints in the series, that I am trying to publish.

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I think this may be more difficult than you think.

 

I assume that what you have posted is a photo of color patches sitting next to a page of a book (or in any case, next to a print). Changing color balance using the color patches would take care of errors in capturing and displaying the image. (using the gray scale, I got a shift of +11 toward magenta and +1 toward yellow in Adobe Camera Raw.) However, if the paper itself has yellowed with age--which looks to be the case here--using the color patches won't address that problem.

 

I've been mulling over exactly this issue with some artwork that was done on paper that has deteriorated and yellowed quite badly. One could guess what white the margins should be and adjust accordingly, but that would distort the colors, which show the underlying medium to varying degrees. I haven't figure out how best to do this, but perhaps someone else here has more experience.

 

 

Yes I agree, I would like a good starting point by eliminating the camera/illumination effects. This will likely turn into a color restoration project. I have a book with excellent color version of these prints. So I will manually adjust them to match. I wish I had the bandwidth to play around with machine learning image processing.

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Rodney, Thank you. I wrote haiku for all one hundred prints in the series, that I am trying to publish.

 

 

After I correct for the camera and source, is it worth while trying to create a compensation matrix from manually selected points across the color space from a higher quality reference image to restore faded colors, etc.? Or is color restoration by eye the easiest approach?

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By eye, especially if all colors fall within display color gamut.

For publishing in a book it would be risky. I've spent a lot of time cmyk correcting photos for magazines, books etc and in my experience you can trust the numbers only.

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Do you actually want or need exact reproductions of the prints as they now appear?

 

Surely the artist's intention was that the lightest parts of the print appear white? That doesn't happen with paper, which starts to yellow almost as soon as it's made.

 

Vegetable ink dyes will also fade over time. So there's a high chance that those prints look nothing like they did when freshly made.

 

Sometimes, just making the yellowed paper of a copied print properly white gives a better impression of the artist's intention than a colour-true reproduction - great for a museum archive, but not so great for enjoying the artwork as the artist intended decades ago.

 

BTW, that looks like a Kodak Q13 reprographic colour swatch. You'd need to know which issue it was to get a colour reference from it, since they weren't consistent over time.

Kodak-Q13.thumb.jpg.a8a845486fd54f903c50dce3be71a3ac.jpg

Edited by rodeo_joe|1
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For publishing in a book it would be risky. I've spent a lot of time cmyk correcting photos for magazines, books etc and in my experience you can trust the numbers only.

What are the exact CMYK numbers necessary for the OP for say just the color patches; you are sure they have an ICC profile for the output that will be used to convert from RGB Working Space that is?

Author “Color Management for Photographers" & "Photoshop CC Color Management" (pluralsight.com)

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The original target is a Q13 or Q14 but there were others produced by Kodak over many decades for differing uses.

As mentioned, just that kind of target was iffy as outlined on the Colorsync list many years ago:

 

On May 5, 2008, at 17:58 , Roger Breton wrote:

 

That's a Q13. That target was popular with films but has fallen by the

wayside with digital. The problem with this chart is that it wasn't produced

to close tolerances like the Munsell charts to be able to speak of useful

"averages" -- not that I know of. That chart is printed with CMYK inks so

its colors "values" are only specified with screen percentages like 100%

cyan and so forth. The best you can make is to have access to "typical"

CIELab values for each patches, and convert them to RGB if you need,

thereafter. So that you could use them in your workflow.

I guess the Q13 can still prove useful in color reproduction.

 

I do have Lab values that were published as well.

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Author “Color Management for Photographers" & "Photoshop CC Color Management" (pluralsight.com)

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What are the exact CMYK numbers necessary for the OP for say just the color patches; you are sure they have an ICC profile for the output that will be used to convert from RGB Working Space that is?

I would set white, gray and black patches in rgb to standard values. Next I would move to cmyk and work on shadows/midrange cmy globally and k for contrast. I would make 4 different files and hardproof it in the printing house. Here in Europe profile is just fogra. I would also make cmyk to add more k to create colors in this case. Pretty standard procedure.

Edited by igord
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I would set white, gray and black patches in rgb to standard values.

What are standard values for CMYK output to a device undefined as yet? Please provide specific numeric formula for CMYK for white gray and black, without having any notion of Black Generation for the device.

Author “Color Management for Photographers" & "Photoshop CC Color Management" (pluralsight.com)

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Here in Europe profile is just fogra.

Not only untrue, there are multiple flavors of FOGRA WHEN specified!

https://www.color.org/chardata/fogra.xalter

https://www.color.org/fogra39.xalter

I can assure you that if the OP is in Europe but the book is printed in any number of shops, it may or may not be anything like FOGRA when FOGRA is actually and completely specified.

Author “Color Management for Photographers" & "Photoshop CC Color Management" (pluralsight.com)

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What are standard values for CMYK output to a device undefined as yet? Please provide specific numeric formula for CMYK for white gray and black, without having any notion of Black Generation for the device.

I said rgb standard values, it is much easier to make it in rgb. Next CMYK files and hard proofs.

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What are standard values for CMYK output to a device undefined as yet? Please provide specific numeric formula for CMYK for white gray and black, without having any notion of Black Generation for the device.

Just what I said earlier - best to contact a printing house dtp guy.

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I said rgb standard values, it is much easier to make it in rgb. Next CMYK files and hard proofs.

What are 'standard' RGB values for what Working Space from those target patches shown in the fist post?

Only rule really: When RGB values are equal, in an RGB Working Space, it is neutral. There are indeed absolute values for White or Black: zero is a black hole, 255 is as white as white gets. But that doesn't mean the target seen from the OP should be anywhere near those absolutes! So much for 'standard' RGB values.

 

Actually having the Lab values of all those color patches makes converting this to an RGB value pretty easy....

 

Yes, considering all capture devices (for eventual CMYK output) are RGB, it's easier to correct RGB values if in an RGB Working Space. Is it in an RGB Working Space?

Next I would move to cmyk and work on shadows/midrange cmy globally and k for contrast.

Here in Europe profile is just fogra. I would also make cmyk to add more k to create colors in this case.

Move to CMYK how? For CMYK, gotta have a specific ICC output profile to get there. Stating just "FOGRA" when there are dozens of flavors of FOGRA while further, we have zero idea what, where and how the book will be printed, FOGRA is an assumed and thus moot recommendation.

Author “Color Management for Photographers" & "Photoshop CC Color Management" (pluralsight.com)

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  • 2 weeks later...
Do you actually want or need exact reproductions of the prints as they now appear?

Thanks for the swatch link. I would like (not need) the colors to be adjusted to how they appear when they were created. Which is more difficult than how they appear when they were documented. Since they are wood block prints from the 1800's. I have a book that has these prints with beautiful colors. I will try your swatch out, as a rough guide to correct the source and camera. I have to give more thought to doing it by eye vs the numbers.

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I would like (not need) the colors to be adjusted to how they appear when they were created.

In which case that grey scale and those swatches are useless.

 

Removing the paper yellowing reveals the colours more as they would have been originally, but without knowing the hue and intensity of the original inks, a faithful restoration isn't possible.

 

Here's a quick edit that restores the base paper (mostly) to near-white.

IMG_20210808_101534.jpg.2b35800fec15229457d1a6676ac11e7d.jpg

You can see that it makes a nonsense of any external 'reference' colour.

 

So the choice is eye-and-emotion versus instrumentation. Your choice, but personally I'd go with the Mk1 eyeball.

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  • 2 weeks later...
Rodney, Thank you. I wrote haiku for all one hundred prints in the series, that I am trying to publish.

 

 

Is this data in this article sufficient or would your measured values be more accurate. What are you rates?

 

https://www.imaging.org/site/PDFS/Papers/2002/PICS-0-267/7122.pdf

 

Do I fine tune the need to manually create a calibration file or try to fine tune the RBG slider to match the image target vales to the reference values. or do I need to do a Curve fit and change gamma settings within photoshop?

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Rodeo Joe and others are right in questioning whether you need the kind of precision you seem to be asking for, for your purposes.

 

His Q&D tonal adjustment can get you close enough for a starting point, and then you can play with adding 'filters' in a reasonably complex image manipulation program to get something that "looks' right to that mark 1 eyeball

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From that linked 'scholarly' PDF article: -

"ChannelValue = 255(Reflectance 1/γ )"

Except that the sRGB colour space doesn't actually use a true gamma 2.2 tone curve, and nor do any other standard spaces use a true gamma of 1.8 - close, but not scientifically accurate.

 

Only AdobeRGB uses a true 2.2 gamma curve, but I suspect sRGB was what the authors of that old article had in mind with their table of gamma 2.2 values.

 

For example: A reflectance of 0.011 should equate to pixel value 27, 27, 27 in sRGB space. Not 33 as given in that table. The reflectance value 0.178 (patch 7-M) also has its closest pixel value at level 117, not 116.

 

OK, for the majority of greyscale patches the pixel values aren't that far in error - theoretically. But the theory takes no account of the inevitable flare and degradation of reflective values actually captured by the camera or scanner reproduction. And therein lies the rub!

 

IMO, any attempt to apply the 'correct' tonal or colour values given in that highly theoretical paper are doomed to failure under real-world conditions.

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