I’ve just been reading a lot of research in this area to come up with specific
recommendations on how you change the display to match the viewing environment
to minimize the differences. Most of these require OS support and specific
hardware. But if you can control the application (or the web page) and suggest
the correct viewing environment you can do a few things right now to fix the
issue.
View the display in a dark room and make sure the image on the display has a
little white and mostly gray around the representation of the print. The amount
should simulate the desired viewing environment for the standard. This is
usually around 10% of the peak white, maybe a little more because it’s not
going to cover the full field of view.
By doing the above you do two things:
1) The human visual system will chromatically adapt to the white point of
the display. That is, gray in the image will look gray to the user.
2) The gray scale will look correct because the background luminance level
is well controlled and simulates the standard viewing environment.
The biggest mistakes are:
when you view a wide gamut display in a reasonable ambient light viewing
environment. When this happens, individuals will actually see different colors
of gray because the ambient light is broad spectrum and the display has a
narrow spectrum (called user metamerism). If the ambient light isn’t D65, then
everyone will see the wrong shades of gray.
You view a display that is very bright in a dark environment, think viewing at
night with the lights off. You are now far away from the standard’s assumed
viewing environment. When this happens, the gamma of a calibrated display will
be too low for that condition and you will see more details in the shadows on
the display than you will on the print. The opposite happens when the display
is too dim for the ambient light level.
Neil
On Nov 1, 2019, at 3:57 AM, Yves Gauvreau <gauvreau-yves@xxxxxxxxxxx> wrote:
In the following context, mister X sees an image on a web site that he likes
and decide to buy a print version of it. When the print arrives, he is
disappointed because the print doesn't look the same as on his screen.
I'm sure this happens all the time and even if we have a "perfect" match or
almost where the image was printed, we have no way of knowing what will be
the viewing condition of everyone that could buy a print. Beside giving
Mister X is money back this time, is there something one can do to reduce the
probability of this kind of situation from happening?
Yves
