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> I suppose Shannon’s capacity theorem can be applied to images, trading off bandwidth for SNR. If resolution is bandwidth, and brightness the SNR, what would c
by dreamcompiler 8y ago
> I suppose Shannon’s capacity theorem can be applied to images, trading off bandwidth for SNR. If resolution is bandwidth, and brightness the SNR, what would capacity be in a photo? The sharpness? That would imply sharper photos would be better off with higher pixel sensors than with dynamic range.
To perform this tradeoff and capture e.g 1-bit images with super-high resolution you'd need the sensor to do error diffusion a la sigma-delta modulation, and AFAIK image sensors cannot currently do this.
- madengr 8y agoAh, so you are saying the quantanization noise can't be averaged out, as with decimation after an ADC.
- dreamcompiler 8y agoIt could, but you'd have to start with a sensor that had both a high number of bits per sample and super-high spatial frequency. If you had such a sensor, there would be no point in decimating; you'd just use the samples the sensor gave you directly. The point with decimating is to sacrifice some spatial resolution for an increase in bits-per-sample from a low-bps (but high-frequency) sensor. This is done routinely for audio signals but it would be a lot more tricky with a two-dimensional signal. Not impossible, but it would require processing elements between the pixels to diffuse the error properly without losing information.