32-Bit Working Space Benefits?
What are the benefits of working in the Photoshop 32-bit space on either Raw Smart Object Layers, or even taking a Raw image from Lightroom/Camera Raw into Photoshop the standard non "Smart Object" way (into 16-bit) then immediately going into the 32-bit space (Image/Mode/32-bit)?
I have been doing this for many years now (generally taking images as far as possible in the 32-bit space, doing a "save as" so I can go back to the saved 32-bit space layers if I ever need to. Then once I have done all I can there, I bring the photo back into the 16-bit space after getting all I can out of the adjustments available in the 32-bit space.
I believe I see some real world, noticeable benefits. Of course this workflow comes with many quirky things that the 32-bit space entails.
One (of many) things I believe I am seeing is the ability to stretch tones further, and use/apply more radical adjustments that would result in posterization/banding (more damage) in the 16-bit space.
One example: a client recently sent me a black and white image that did not have great data (not shot bright enough) and although most of the work was done in Raw/Lightroom, once it was brought into the 16-bit space and several edits (some of the edits using masks) were applied to optimize it, banding/posterization occurred fairly quickly. I have seen this happen for years.
BUT, I then tried bringing the raw file from Lightroom into Photoshop as a raw "Smart Object", but this time I immediately converted it into the 32-bit space. Then once it was in the 32-bit space I rasterized it (flatten) and proceeded to do the same masking/adjustments. No banding/posterization occurred. After finishing the edits in 32-bit mode (and saving a copy there in case I ever need to go back to it) I brought the finished/flattened image back into the 16-bit space and there was no banding/posterization and the tones just seemed better overall. We made a huge print out of it, and the tones were noticeably improved. I have come to believe that the masks are higher quality in 32-bit as well.
Lastly, one other example (of many) I have also brought damaged banding rasterized images (that had a lot of abusive adjustments applied) including jpeg's that nothing in 8-bit or 16-bit could fix (only make it worse).
But then, instead, I brought the images straight into the 32-bit space, made a very slight Gaussian Blur adjustment to the sky (the banding area) and then converted it back to 16-bit and the banding was gone! In this latter example, there seems to be some kind of beneficial redistribution of the data happening. In fact, I recall an image that banding disappeared by only going into 32-bit, then to 16-bit without any adjustments.
All thoughts are welcome. Thank you!
