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I have written lcc software myself so I have looked at the problem in detail. Noise in the lcc shot can be quite high without problems. The shot is blurred before applied so noise is reduced to practically zero, except for dust details that cannot be blurred in order to make dust spot cancellation possible. So I would not worry about a lightly underexposed lcc shot, ie keeping the same exposure should be ok.
So ? ? ?To make things simple:
High iso = more noise = lower LCC quality
Jae's examples both seem under exposed and IME the Expodisc is not good enough for LCC ...........
Yair
The expodisc filter is Not Good enough ? ? ? (i am not taking side of any Brand here)To make things simple:
High iso = more noise = lower LCC quality
Jae's examples both seem under exposed and IME the Expodisc is not good enough for LCC
When I run out of exposure I would use a flashgun or do the LCC shot at a later stage (after I've written down the aperture and lens displacement)
Yair
The LCC function in Capture One and Leaf Capture has been developed to work with a certain type of diffusers (the ones that we provide, or similar 3mm White opaque perspex) and there are clear guidelines for how they should be used in terms of exposure etc.The expodisc filter is Not Good enough ? ? ? (i am not taking side of any Brand here)
I wonder , what is Good enough then ? ? ?
ISO on a Phase back is pretty much just a metadata thing, the recorded data is really the same, the ISO is passed on to the processing pipeline so adjustments can be made. The noise is the result of a lower signal to noise ratio because basically when you increase the ISO, you underexpose the signal.To make things simple:
High iso = more noise = lower LCC quality
Jae's examples both seem under exposed and IME the Expodisc is not good enough for LCC
When I run out of exposure I would use a flashgun or do the LCC shot at a later stage (after I've written down the aperture and lens displacement)
Yair
Sorry but this isn't how the LCC function in Capture One works...you can adjust the exposure of the LCC image before or after you analyse it but it won't make any difference to neither the RAW data nor to the resulting imageIn a pinch you can just shoot the LCC at the same setting as your work, and then just normalize the exposure up a couple of stops before creating the LCC in C1. End results are pretty much identical to adding two stops via ISO adjustment.
Yes, the only reason I mentioned the adjustment is then "visually' you would see something very much like you would see if you increased the ISO. Just pointing out that increasing the ISO doesn't change the actual data that is captured, it just sends a metadata setting to the post processor. I assumed the LCC worked strictly on the raw data so any post settings don't apply, and any increase in ISO really doesn't have any affect either.Sorry but this isn't how the LCC function in Capture One works...you can adjust the exposure of the LCC image before or after you analyse it but it won't make any difference to neither the RAW data nor to the resulting image
Obviously you can ignore the above and you will still get an image and in most cases it will be useable or every useable but you are making a compromise
Yair
That is very interesting!Made a quick test with heavily underexposed LCC shot. I don't get problems with noise, but what happens is that the digital back centerfold which normally is no problem becomes so prominent in the LCC shot so when I apply that a centerfold artifact appears in the plain sky. Ie centerfold comes from the underexposed LCC, not from the main image.
So there is a limit of how dark you can make your LCCs, and noise may not be the first problem appearing.
Applied radially, increasing with radius?Then you have crosstalk...as it's generally only a slight desaturation of colors it's not too hard to live with. You could also manually make an approximate correction for it in postprocessing with a local saturation increase.
Yes, in principle. One problem though is that most sensors have a different amout of crosstalk vertically vs horizontally, due to how pixels are designed. This means that if you shift you have your sensor horizontally and shift it up you may get more (or less) than if you shift it sideways.Applied radially, increasing with radius?