Originally posted by stevebrot Sorry, but I am not following you here. Are you saying that noise depends, at least partially, on the amount of light striking the sensor and that underexposure (less light) creates noise?
Steve
Yes, but it's a different kind of noise that what people often think about.
First, there's various types of noise intrinsic to the sensor's silicon and electronics that are added to the signal and multiplied by electronic or digital ISO gain. Even with the lens cap on, the image has noise.
Second, there's also the Poisson noise in the signal itself because the arrival of photons is not perfectly smooth. Instead, there's a random chance that more or fewer photons arrrived from some bit of the scene. Even if the sensor and electronics were perfectly noise-free, the image would still show "noise." That Poisson noise source is proportional to the square root of the light level.
For example, a pixel that should be getting a signal of exactly 1000 electrons will actually show a standard deviation of 30 electrons from shot to shot. Or, if a patch of pixels all see a uniform surface with 1000 e/pixel, there will be speckling from pixel to pixel of 30 electrons. That's a ±3% variation with some chances of ±6% or more. If you underexpose that scene by 2 stops so that each pixel should be accumulating only 250 electrons, then the Poisson noise will be about 16 electrons or about ±6% with some chances of ±12% or more.
(P.S. This physical phenomenon is one cause color noise in high-ISO shots. A gray card image that should have equal numbers of electrons in the R, G, and B pixels will show Poisson noise across the channels -- maybe the R and B pixels in one sport caught 3% more electrons but the G pixel caught 6% fewer to create a magenta blotch in the grey.)