pommiejohn said:
mollwollfumble said:
In the early days of digital photography, CMOS was not used for astronomy, because of its dark current. That’s the background noise that occurs when looking at nothing. Not a problem for normal photography but a pest for astronomy. CCD was always used.
I haven’t heard much about CCD recently.
I was chatting to a guy who does a bit of astro photography but he said he takes several shots the same and layers them up in photoshop. Photoshop can combine the shots and compare the noise in each one, then cancel it out.
Thanks. I didn’t know Photoshop could do that. The software I’ve heard of is Registrax, which does multilayering with sub-pixel movements to get a result that has higher resolution than the original images.
Here’s a nice little article on the difference between CCD and CMOS sensors, as applied to astrophotography, by an astrophotography CMOS manufacturer.
https://www.atik-cameras.com/news/difference-between-ccd-cmos-sensors/
“CCD sensors are often referred to as ‘dumb’ sensors and require a lot of external circuitry. However, this also means that other circuits on the CCD are adding very little signal to an image. This gives us great controllability as camera designers to optimise our cameras for low light imaging. All this clocking makes the sensors slow to readout. Traditionally, this isn’t a problem in astronomy where we prioritise quality over speed. CCD sensors are also relatively expensive, particularly when you begin looking at large sensors”.
“CMOS uses lower quality 12 bit analog to digital converters (ADCs) compared to the high quality external 16 bit ADCs we can use with CCDs. The ADC and image sensor are on the same silicon die, which can give very low read noise. Read noise on a CMOS sensor is linked to well depth. Overall, there’s actually little difference between CMOS and Sony CCD sensors.”
But
What I call “background noise” they call “amp glow” which is a big problem fro CMOS but it “there are ways of controlling and minimising the effects of this, both on the sensor and through image calibration.”.