Whilst I would like that to be true, I can’t see it. As generations of film / SLR users get older, the people who replace them will not have the same nostalgia. I’m not saying it’s dead yet, just that I feel given the money that Apple /Samsung etc can throw into R&D, how can traditional camera makers compete In the long term.
it used to be pure physics that meant camera phones were the poor relation in terms of image quality, but computational photography is eliminating that. in 5 years time, what will be the reason for owning a SLR?
I believe that you have stated your opinion that "computational photography" will replace traditional photography several times in various threads.
I do not agree.
It might be a question of "good enough".
In very general terms (which may not apply to you or your statement), I see many posts by people saying that their iPhone pics are "just as good" as something taken with a dedicated camera. For those types of replies, my initial thought is that the poster has never used a *really* good lens.
"Computational photography" will never replace traditional photography, at least in the near-term (and possibly ever). At least for some types of images (and I would argue that they are a significant subset of image types).
Your assumption is that with a static subject there are ways via software to emulate the effects of a faster lens regarding a shallow DOF or perhaps a stopped down lens regarding a larger DOF. Both potentially possible, though the current ability of iPhones (or even dedicated software in post) aren't exactly the same as actually shooting the subject appropriately with the appropriate gear and exposure settings. Yes, I have used software such as Gigapixel AI to improve sharpness beyond what was captured with the lens, but while the results can be acceptable they are never better than shooting with the appropriate gear in the first place.
But what about subjects that require a fast shutter speed to freeze motion? No amount of "computational photography" either in camera or in post will be able to fix the blur caused by an image that was captured at too slow of a shutter speed for the subject.
Or subjects that require a slow shutter speed (on the order of 5 minutes)? Things are actually changing in time over that exposure duration within the frame that can't be fixed or emulated with "computational photography". It isn't a question of applying some sort of "blur" filter to the image or parts of the image, the actual content of the image changes in a way that can never be replicated, approximated, or emulated via software.
Or what about lighting? iPhone "portrait" lighting effects are crap compared to actual studio lighting. Even if you envision some future software ability where you could have a 3D model of your subject and could then place lights with specific modifiers within this 3D space, the initial file captured with an iPhone would be of such poor quality that this hypothetical modeling system would still produce inferior results. To ground this back in reality, no phone camera currently has anything approaching the ability to do this and I don't see this changing in the next 5 years. Lighting is an art unto itself. "Computational photography" can't address this now and isn't likely to be able to do this in the foreseeable future.
Or what about "niche" lenses like tilt/shift lenses. In theory, the tilt part could be replicated via software, but the shift part couldn't be. Ever. It is literally impossible.
The basic problem with your argument is that regardless of future software improvements, the quality of the initial file is still paramount. Garbage in = garbage out. Only so much can be done with poor initial data.
I get that you want to place your faith in "future technology" replacing traditional photography. For what you shoot, this might actually be possible. But "computational photography" will *never* replace traditional photography for some applications. And I would argue further that this doesn't solely apply to the realm of "niche" photography.
It goes back to the argument of "good enough". For some, computational photography will be "good enough". For others, it won't. But it is a serious mistake to assume that your opinion regarding the current and future abilities of "computational photography" (presumably related to your photography experience and shooting style) applies to photographers in general, all photographers, or photography as a discipline/profession/art form.