I will give you a strait answer and leave out maybe,could,can, might, . out ot the hundreads of raws images ive compared on fast raw viewer
i have then looked at the histogram on Faststone, ACR and photoshop, and they have all been 100% the same as FRV. no clipping has been induced.
No, I'm right. If you wanted to refer to the organisation using an initialism or acronym then in the English language it would be IOS, and if you were pedantic about the full-stops (periods) I.O.S. (though that doesn't make a load of sense for an acronym, which is why you write NASA and not N.A.S.A). If you want to refer to the name of the organisation, it's ISO, if you run with the eccentric capitalisation that they like.
Well color space is one of the key factors in what a histogram represents and a histogram in LR is not a representation of raw data, it is the of the final image that has been placed within a color space.
If we can have this much variance in what a histogram will display how can you use it to understand what is contained in the raw data?
Here is a simple image taken of a color checker SG target and the wire frame is that of a color space all that falls outside of the wire frame will be clipped so how can you rely on information that has been placed in a color space as a way of gauging raw data and remember that the target only represents a small fraction of the values we can record
This really has no bearing as to the raw file but that the raw converter thru the conversion into a viewable color space and the limited gamut is causing the clipping
depending on what color space is used there are very different outcome to how that image will be displayed within the color space.
So how can you know what is causing the clipping? is it the WB is it the color space or can it be behind the scene processing?
You really need to understand that the histogram in camera and the raw converter is not a raw histogram. that histogram is based on the processed image, one of the processes is that it is placed into a color space, how large that color space is limited to is by design. If I use a smaller color space and that is what causes the clipping it will show up as clipping
Here is an image, the wire frame is a color space, everything outside will show as clipped in the raw conversion, while the raw file would allow me to construct a image with much of the colors that would not be limited to that color space.
Again if the histogram in the raw converter is based on the outgoing image and the size of that color space how can you use that converters histogram in a way to judge what is happening to the raw data?
You and no body has yet proven that the histogram accuracy is not spot on . i dont care what they are measured off just that they align up from
my a6300 and a74 using faststone, ACR, photoshop and Fast raw viewer, which btw has been a great way of confirming how accurate my tests have been.
there is nothing more to discuss, my prints are first class and so are my media files that i send to the clients.
What are natural colored images, That image was taken during the wildfire season with heavy smoke so if it was natural you are looking for then it should have been even more warmer.
What is a natural WB for golden hour light? what is a natural WB for a winter scene at dusk ?
When does white have to be white. If I place a WB card in the direct sun 90 degrees to the sun and take a reading and then place the target at 22 degrees to the sun what is the correct WB setting?
What happens if my WB card is not white by design and is designed to warm or cool the image? does this mean that correct WB was recorded? and will I be natural ?