[endorphone]

"Computational approaches can compensate for subject motion"

But they don't. They don't in this example. Moving subjects are a blur. As an aside, of course stacked photo frames are underexposed because it wouldn't make much sense otherwise.

Computational photography can do interesting things and holds a tremendous amount of promise. However every single example that I can find of this mode -- across the many astroturfed pages -- show a longer exposure than what the stock app normally allows. And with that the requisite blurring of any moving subject.

[hug]

Are you arguing that EIS over a series of burst photos is incapable of making things better?

Everything I can see you saying -- much if it agreeable, like the fact that long-exposure OIS makes a lot of what this technology currently does possible without it -- is simply handwaving away the fact that EIS-over-burst with OIS can achieve things that OIS cannot by itself.

It seems to me that it's patently true that EIS has some benefits, and those benefits can be realised over the top of OIS.

There's obviously still a fair limit to OIS. I have somewhat shaky hands and even using something like Olympus' top range 5-axis IBIS, which is the best I've ever seen, I can still only shoot at 1/10". What can EIS do with a burst of 3x 1/20" exposures? Probably counter for my shaking a bit, at least. (If not for subject movement, yet.)

I simply do not see why you're discounting this so heavily.

[endorphone]

Where did I discount EIS? EIS+OIS is a golden solution. It's what the Pixel 3 does. It's what the iPhone 8 does. It's what the Huawei P20 does.

This all gets very reductionist, but EIS over a series of bursts is a bad alternative to OIS. It will be garbage in->garbage out. EIS with OIS, however, gives you the benefits of OIS, with the safety valve and "time travelling" effect of EIS (in that it can correct where OIS made the wrong presumption, like the beginning of a pan).

>and even using something like Olympus' top range 5-axis IBIS

The ability of OIS to counter movement is a function of the focal length. Your Olympus probably has a 75mm equivalent or higher lens, where a small degree of movement is a large subject skew. That smartphone probably has a 26-28mm equivalent lens. Small degrees of movement are much more correctable.

EIS is brilliant. OIS is better for small movements, but add EIS and it's great. Computational photography is brilliant. However Google has really, really been pouring out the snake oil for their Pixel line.

[hug]

> Your Olympus probably has a 75mm equivalent or higher lens

50mm equivalent in 135 terms, but yes, larger than 28. (I've since moved on to an X100F, but that's neither here nor there. :)

> EIS is brilliant. OIS is better for small movements, but add EIS and it's great. Computational photography is brilliant. However Google has really, really been pouring out the snake oil for their Pixel line.

This is what I was missing. It seemed you were arguing that computational photography is not capable of much, but you're more just pointing out that this computational photography is not doing much, despite Google's claims to the contrary.

I'd agree with you that this is not exactly revolutionary stuff.

[ricardobeat]

> But they don't. They don't in this example. Moving subjects are a blur.

If you stack the original exposures together, you'll get ghosting and not a blur. The natural-looking blur is a result of computation.

> of course stacked photo frames are underexposed, wouldn't make sense otherwise

Except it does make sense if you want to capture more shadow detail, this is how HDR images are made.

You're severely underestimating the amount of computation involved in getting these shots. These are all handheld, and as @dgacmu mentions can benefit from exposure bracketing which gives much better results than a single long exposure.

Of course you could already get similar shots from a good camera and technique - the fact these are handheld shots coming from a mobile device, and straight out with the camera is the impressive part.