https://people.ece.cornell.edu/land/courses/ece4760/FinalPro...
Curiously, the camera has hardware edge detection which might have helped with very early machine vision.
There should be some silly way of doing this with just a single photo diode and a speaker to provide one axis of motion and to let the Earth's rotation provide the other axis.
Or alternatively, what's a way to transform high-res images to look like that?
Kinda difficult to buy crappy low resolution detectors these days because nobody makes them and you'd need to build the readout electronics yourself. You might as well just use a decent detector and make it look bad.
I wonder, this may be silly, but could you not potentially get a slightly higher resolution image, if you just created a pixel for every sensel. Than if you were to apply the demosaicing algorithm then convert to grayscale.
Like so: http://imgur.com/a/YpHzZ
https://en.wikipedia.org/wiki/Dither#Algorithms
Floyd-Steinberg is a reasonable first choice if you want to implement one. There's pseudocode on its Wikipedia page too: https://en.wikipedia.org/wiki/Floyd%E2%80%93Steinberg_dither...
I'd be very curious to see what happens if you do exposure stacking-- in principle, you could get a lot more bit depth!
I guess instead of making an HDR image from SDR images you'd be making an SDR image from LDR images. :-)
Next step, find the Gameboy Printer and print out your shots!
[0] ftp://ftp.casio.co.jp/pub/watch/wc/WQVLink_Manual_K.pdf
Current day smart watch (without a camera in most cases) : 24 hours to 1 week battery life using a lithium ion battery.
