|
|
|
|
|
by rbritton
2397 days ago
|
|
Zoomed out, those photos aren’t terrible, but if you click to view a higher resolution version, you can see the softness created by the noise removal algorithm. Based on my experience, the image quality is comparable to DSLRs of about ten years ago. Noise removal is a bandaid. In astrophotography, it will virtually always look softer than reality actually is, and it will also have removed actual stellar objects. There is no substitute for a better, lower noise sensor, but you work with what you have. 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).