ejenner wrote in post #16966649
That's actually an interesting idea. So why isn't this more widely used - or is it widely used by landscapers? PITA? Filter quality? The fact you'd often have a CPL and this would add an extra filter and exposure time?
I do not know the answer to your questions.
That being said (
) I would guess that most digital photographers shooting color images are not aware of color filters or see no point in using them, because if they are being used for some "artistic" purpose, that can be simulated with software.
Using filters for digital, raw acquisition may be of benefit if you have a good understanding of what it is you are trying to achieve and understand how filtering can produce the desired results.
In the case of a daylit scene with the sky present in the image, after WB, folks might find that the sky contains noise that they find objectionable. Why is there noise in the sky? Or how about in the shadows, which are essentially lit not by the direct light of the sun, but by the fill light of the sky?
If one shoots such an image and examines the R, G and B channels (which you cannot do in LR, for example) you will find that red channel is underexposed in the sky and noise is present in this channel. The noise in the composite RGB sky originates mostly in the R channel - this would imply that if you were able to expose the red channel more, you could decrease the noise in that channel and have cleaner tones in the sky. If noise is bad enough, it can start affecting color, not just produce annoying speckles. So, addressing noise in a single channel might be of benefit.
The use of a magenta filter, as outlined in the LibRaw article, essentially permits one to expose for the red channel (with some crosstalk into the other channels) and suppress the light falling on the green channel - the green channel is typically what dominates these daylit scenes and will blow first - if you base your exposure on the green channel you can only ETTR so much and the red channel will still be underexposed. By passing red and suppressing green, you can bring both channels up to their clip points via ETTR without sacrificing one over the other. Then you can white balance and go about your merry way, with better signal in the red channel. At least, that is what I gather from the exercise demonstrated in the LibRaw article.
This probably makes less of a difference in an image the is destined for black and white, as the noise in the original color image is less likely to affect the "look" of a black and white that you convert using whatever method you want. "Grain" is nice in such an image and any color effects from the noise will vanish in conversion. You can apply filters virtually to a color image in many black and white conversions to, for instance, darken the sky and lighten the complementary color (a red or yellow virtual filter).
I would file the use of color filters for raw image acquisition under "Nerd Experiment" - that is, something that I have wanted to do for a while and have not gotten around to investing the money in filters yet. Whether or not there is an actual real benefit to the exercise, I do not know. I would have to try it for my shooting style. I would think that any scene with highly saturated dominant color that would not produce an "average gray" scene would be a situation where filtering to control that color might help your overall exposure.
Note in the comments that follow the article there are some interesting discussions about the topic. One in particular is the question about biasing WB in camera to Magenta to simulate the effect. As the author of the article points out, this does not address the fundamental requirement of the problem's solution - making more light fall onto what will be the red channel. To make this happen, you need to modify the light entering the camera.
The fact that most raw converters give you no picture of the R,G and B components of your image (or the white balance coefficients used to scale the linear data in your file to achieve the selected balance) would indicate to me that most people using raw converters to make images do not care about such details - hence it is not surprising that most people do not really think about, or find interest in, filtering during acquisition.
kirk