Samsung and Omnivision Claim Smallest Camera Pixels
spectrum.ieee.org
spectrum.ieee.org
The only exception to this (which proves the rule IMO) is that Nokia 40 megapixel phone that came out a while ago. It deliberately recorded 5mp photos, using the 40mp of data to intelligently average the pixel information, rejecting noise it could detect in software. It was unfortunately married to a less-than-stellar smartphone so I don't think it sold well despite the pictures being beautiful (IIRC at the time it's low-light performance couldn't be beat).
You want the biggest sensor, but nowadays, we're targeting smallest pixels at the same time.
The basic idea is that every pixel will have its own quantum and thermal noise, the noise on every pixel is independent. This means that to have the best measurement of the "real" light brightness at one place, you make the median of all the surrounding pixels (that's called binning). This obviously reduces resolution, hence we're making smaller pixels. (Nowadays we make better algorithms than median, but median is still pretty good)
Lately, one of the major reasons we've been losing light on the sensors, is the RG/RB matrices, we loose light at every transition from one color to another.
So, you combine those two pieces of information, about pixel binning and about color filtering, and that makes you modern sensors: 108MP (in Samsung Galaxy S22 Ultra case), where the RG/RB matrix only has 12M"spots", pixels being 9-binned (so you "create" one pixel, by measuring 9 at the same time).
So Galaxy S22 Ultra's 108MP is kinda "just" 12MP with much better light sensitivity.
In real life, it's a bit better than just 12MP, because even if you are in a R-only region, you can still find the changes of global brightness, and have sharpness further than 12MP. Hence Samsung touts "combining 9-binned image with non-binned image"
They'd better work on "normal" sized pixels with extra performance rather than smaller pixels that are barely as good as the previous gen. Alas, big numbers sell
They improve sharpness if optics can resolve them. Also, having more data will might ease autofocus algorithms and computational photography techniques.
Low light and DR depend solely on the quantity of light falling on the sensor. That depends on scene illumination, sensor size and lens aperture,not on pixel size.
However, having a huge resolution is a waste of storage and processing power if the optics can resolve much of those pixels. And it could slow things down.
To my understanding - If the pixels are smaller, the gaps between pixels are likely to make up a larger proportion of the sensor, so you do lose some light from this process, although there are definitely upsides to extra pixels if there is more detail to be resolved
Wow. For comparison the latest Leica M11 with a full frame sensor with 60.3MPX has a pixel pitch of 3.76 μm.
I’m curious about the ISO sensitivity but, since this sensor will use a lot of “computational photography”, like any modern smartphone, the ISO/light sensitivity should be less important than the power of the chip matched to this CMOS.
Off the bat, that could capture 3D environments, but with a large enough sensor, you could digitally zoom in basically indefinitely.
Phased-array optics exist for larger wavelengths, but it’s likely they’ll eventually exist for visible light as nanomanufacturing improves.
(btw analog film apparently was 1.5um)
Most of the time, the image sensor on a telescope actually slightly over-samples the sharpness of the image that the telescope is able to project. So having smaller pixels won't help.
But to actually answer your question, these small pixels will be worse at low-light applications than larger pixels.