Sensor size is inversely correlated with the noise level. Smaller sensors have more noise where the least noise is on full frame (i.e., 35mm) or larger sensors. Phones have small sensors.
Sensor size is inversely correlated with the noise level. Smaller sensors have more noise where the least noise is on full frame (i.e., 35mm) or larger sensors. Phones have small sensors.
Of course regular noise cancellation and other very lossy processing still kicks in after that (which may explain the blurry result). It would be interesting to look at the raw image produced by this.
I use open camera on my cheap Nokia 7 plus (which uses two cameras) and have been getting OK-ish results in Darktable. The dng file you get combines information from both sensors. One of them is black and white so these look really flat until you fix it in post processing. The raw photos have lots of noise (as you would expect) but noise filtering is pretty effective.
I imagine for this it would produce a dng with information from the different stills combined but none of the other post processing (except maybe hot pixel removal).
UPD: oops, XT-1 is just 5 years old, actually. I guess I have to take my words back, sort of.
Still, the point is the same - as long as you make a shot for your Instagram account - your smartphone is alright. For anything bigger you still need a camera with decent lens.
Per-pixel noise depends indeed on the pixel size, but image-scale noise is almost completely independent of the pixel size.
That's because while a large pixel has less noise, it appears larger in the output and so the noise is correspondingly more visible. A small pixel is noisier, but smaller, so the net noise is the same for the same sensor size.