Not exact matches
The biggest improvements for mobile displays will come from dynamically changing the display
Color Gamuts and Intensity Scales to
automatically compensate and
correct for reflected glare and image wash out from ambient light.
I keep a high resolution image (TIFF or PSD) locally and use Photoshop action droplets to
automatically convert the large files to an ImageKind ready (
correct sizing and resolution) JPEG w / an embedded
color profile.
This polarization is a classic sign of ideological / cultural bias, yet your assignment of «
correct» to one side
automatically colors the rest of your investigation to only look for that bias on the opposite, Rep / Con side, and this is what drives the whole scope of your explanations above.
Another nice feature of the software is that it
automatically fixes your scans,
correcting color, cropping and orientation and removing blank pages.
However, if there's any theme to the
color performance that I found in the lab, it's that these cameras have an incredibly hard time finding the
correct white balance
automatically.