Many moons ago, I wondered what it would look like if you iteratively generated every possible image. It doesn't sound very useful at all (and it certainly isn't) but I learned C++ and SDL that way.<p>This is probably terrible code by anybody's standards but maybe someone wants to take a look: <a href="https://github.com/svenstaro/infinerator" rel="nofollow">https://github.com/svenstaro/infinerator</a>
Very very misleading.<p>First, article tried to assess information capacity in Shannon style, completely disregarding what signal is (a) two-dimensional and (b) highly redundant, that is, ignoring the traits of being an image.<p>Second, article taken too much liberties while mixing photorealistic and pixel-art images. The latter is really an art, since there is no formally defined ("machine") transform between these two types. And last but not least these types have significantly different information density profiles.<p>No DSP curiosity here.
I sort of came at the combinations of small images from a slightly different angle when I was a teenager, I was imagining that if there was a movie of your life (and everyone elses, in fact every possible life you could live) then you could produce every still image of that video if you restricted the bounds of the image to something small but understandable. I was very quickly was disappointed at how big the numbers get :)
wonderful, it looks like people are talking with Zoom, kidding. a image can contain lot more information if it is designed by an professional artist. an image have an message for everyone.
Would this be a good way to avoid censorship. Encode an image by mixing it with a private key image, maybe xor the cells or something like that. Post online. Anyone with the key image can decode.
> "Machine learning tries to do by math what we are able to do by instinct"<p>...except that we also do it by math. It is just so fast and optimized, that we refer to it as instinct.