Proper operation sequences to correct color cast.
Posted: Wed Nov 05, 2025 2:41 am
After reading the following post and article, I have a deeper understanding of how the color calibration of CP3 works.
viewtopic.php?t=964
https://www.colorperfect.com/filmtype_s ... ml?lang=en
If I understand correctly, when everything is set up properly — and after importing a negative into ColorNeg and selecting the corresponding film type — if there’s still a noticeable color cast, it could be due to one or more of the following reasons:
Film processing or film condition issues: The film might not have been developed according to standard procedures, the negative itself might have defects (expired film, improper storage), or there could be batch-related variations. In this case, the color cast can be corrected using FilmType / SubType / FilmGamma.
Non-neutral highlights in the photo: For example, a concert scene with colorful laser lights or a close-up of a vividly colored flower. In such cases, you can use AutoColor or other color correction functions to adjust the color balance.
Mismatch between film type and lighting conditions: For instance, shooting daylight film under indoor or cloudy lighting, or using tungsten film in daylight. In such situations, you can partially correct the color cast by clicking on a neutral gray area in the image — if your goal is to restore the white balance to how it appeared to the eye at the time of shooting (though of course, you may choose not to do so).
My question is: when I import a photo into ColorNeg and notice a color cast, how can I determine which of the above factors (or combination of them) is causing it?
Is there a recommended workflow — for example, should I start by trying AutoColor first, and if that doesn’t correct it, then move on to adjustments via FilmType or Click-Gray? In other words, what’s the best sequences of operations for handling color casts?
Additionally, I have a small question about Click-Gray: is its neutral gray correction based on the exact pixel that’s clicked, or on a small area (e.g., several pixels around the point) surrounding the click?
Thank you very much!
Ethan.
viewtopic.php?t=964
https://www.colorperfect.com/filmtype_s ... ml?lang=en
If I understand correctly, when everything is set up properly — and after importing a negative into ColorNeg and selecting the corresponding film type — if there’s still a noticeable color cast, it could be due to one or more of the following reasons:
Film processing or film condition issues: The film might not have been developed according to standard procedures, the negative itself might have defects (expired film, improper storage), or there could be batch-related variations. In this case, the color cast can be corrected using FilmType / SubType / FilmGamma.
Non-neutral highlights in the photo: For example, a concert scene with colorful laser lights or a close-up of a vividly colored flower. In such cases, you can use AutoColor or other color correction functions to adjust the color balance.
Mismatch between film type and lighting conditions: For instance, shooting daylight film under indoor or cloudy lighting, or using tungsten film in daylight. In such situations, you can partially correct the color cast by clicking on a neutral gray area in the image — if your goal is to restore the white balance to how it appeared to the eye at the time of shooting (though of course, you may choose not to do so).
My question is: when I import a photo into ColorNeg and notice a color cast, how can I determine which of the above factors (or combination of them) is causing it?
Is there a recommended workflow — for example, should I start by trying AutoColor first, and if that doesn’t correct it, then move on to adjustments via FilmType or Click-Gray? In other words, what’s the best sequences of operations for handling color casts?
Additionally, I have a small question about Click-Gray: is its neutral gray correction based on the exact pixel that’s clicked, or on a small area (e.g., several pixels around the point) surrounding the click?
Thank you very much!
Ethan.