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I’m looking for a reliable method for *identifying* (and removing) a cast.
The traditional method of setting the black, white and gray points, is not always applicable as not every image has a black, white and gray point! Clipping histograms is also unreliable because in some cases it can actually introduce a cast rather then removing it.
Besides, in spite of all color profiling etc. I just don’t trust my eyes because human perception is very "flexible" and malleable depending on the context. For example, I can create several "corrected" versions of the same image by setting B, W & G points (depending on where I click) and yet they all look "OK" in their own way… Considering I have my complete slide, negative and photo collection to scan, I can’t spend hours on each image tweaking ad nauseam and yet never being completely satisfied with the result.
So, what I’m looking for is an *objective* method that would take me (the unreliable step) out of the equation. Also, I want to streamline the procedure so I can finish all the scanning before the end of this millennium…
Even though I’ve been at this for a few months already and have read a lot, I’m still a relative newbie, so assume nothing… As they say: "Nothing is foolproof because fools are so ingenious!" ;o)
Thanks!
Don.
The traditional method of setting the black, white and gray points, is not always applicable as not every image has a black, white and gray point! Clipping histograms is also unreliable because in some cases it can actually introduce a cast rather then removing it.
Besides, in spite of all color profiling etc. I just don’t trust my eyes because human perception is very "flexible" and malleable depending on the context. For example, I can create several "corrected" versions of the same image by setting B, W & G points (depending on where I click) and yet they all look "OK" in their own way… Considering I have my complete slide, negative and photo collection to scan, I can’t spend hours on each image tweaking ad nauseam and yet never being completely satisfied with the result.
So, what I’m looking for is an *objective* method that would take me (the unreliable step) out of the equation. Also, I want to streamline the procedure so I can finish all the scanning before the end of this millennium…
Even though I’ve been at this for a few months already and have read a lot, I’m still a relative newbie, so assume nothing… As they say: "Nothing is foolproof because fools are so ingenious!" ;o)
Thanks!
Don.
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