Hi Ray,
It might teach a valuabe lesson (without having to repeat it for every file), e.g. that Highlight Recovery should only be used after an adjustment of the exposure (and perhaps the brightness) slider(s). When Rawnalyse tells you that there are no clipped highlights, then why use the HR tool?
Cheers,
Bart
Hi Bart,
Perhaps I already do that intuitively. When an image looks as though it's overexposed, I first reduce the brightness which is set at a default +50, then bring back exposure. If the image still shows clipping, I will then use the HR tool, then reduce highlights with the tone curve.
If I can disguise the fact there are clipped highlights, or to put it another way, kid myself and kid others that there are no clipped highlights, then I don't find it particularly useful to learn that one or more channels are in fact still clipped, although it is of some academic interest. Generally, as long as it doesn't look clipped, that's fine by me.
However, if I were analysing the spectrum of an image from a distant star in order to obtain accurate information relevant to the verification of some scientific theory, I imagine I would be very concerned about the clipping of channels, whether apparent or not.
I've generally found ACR to be either better than other converters at recovering highlights, or at least as good, whenever I've taken the trouble to make a comparison.
Making more extreme adjustments to my previous example, it seems clear that the blue sky is definitely blown out to a degree which ACR cannot rectify. However, I doubt that any other converter could do a more convincing job of reconstructing that lost data.