That is, given an image generated this way, can you get the original binary back?
If so, it could be useful in glitching audio in interesting ways, using image editing tools.
It would also be interesting to hear particular executable binaries sound when converted to audio from this representation. Would differences in different types of binaries be distinguishable by human audio pattern recognition?
Also useful for this would be maximally permissive image representation requirements for the trip back to binary. Of course, this would be difficult for binaries meant to be executed as code, as arbitrary binaries are unlikely to be executable, but for transformation of images to audio it should be much simpler to ensure that any image makes a valid, playable audio file.
That is, given an image generated this way, can you get the original binary back?
If so, it could be useful in glitching audio in interesting ways, using image editing tools.
It would also be interesting to hear particular executable binaries sound when converted to audio from this representation. Would differences in different types of binaries be distinguishable by human audio pattern recognition?
Also useful for this would be maximally permissive image representation requirements for the trip back to binary. Of course, this would be difficult for binaries meant to be executed as code, as arbitrary binaries are unlikely to be executable, but for transformation of images to audio it should be much simpler to ensure that any image makes a valid, playable audio file.