- Banned
- #261
Pawel Achtel
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- Oct 12, 2007
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It may be that simply downsampling the image from the existing sensor would give you similar noise characteristics to a purpose-built sensor of lower resolution but otherwise the same technology.
Put another way, if the sensor readout noise is low compared with the photon shot noise, then there would be no point to making a custom low-light sensor with bigger pixels- you'd get the same image by just downsampling in post.
Apparently not.
With low number of photons per pixel, averaging multiple pixels does not improve overall noise. Let's assume 100% QE. Imagine one photon falling onto each small pixel. The readout noise will be about the same as the signal level. Averaging 4 pixels, still results in the readout noise similar to signal level. Now, if we imagine pixels twice as large (4 times the area), each pixel would receive, on average, 4 photons, increasing S/N by about 2 stops. For the same reason, in low light, adding multiple exposures together does not work as well as taking single long exposure.
See some good examples here:
http://www.clarkvision.com/articles/night.and.low.light.photography/index.html
and here
http://www.clarkvision.com/articles/does.pixel.size.matter/
Indeed, I believe large pixels are the best way to reduce noise level in low light imaging. That's why we have cones and rods in our eyes and our vision is amazingly good, able to detect single photon in complete darkness as well as we are able to resolve amazing detail in full bright daylight. But, using different receptors (pixels) nicely overlaid together by our brains. :001_smile:
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