This is funny, I was fooling around with something really similar last week. The difference is rather than operating on a STFT spectrum, instead transform the w

This is funny, I was fooling around with something really similar last week. The difference is rather than operating on a STFT spectrum, instead transform the whole signal, re-order the coefficients by folding from low to high in the desired dimension, and invert the transform in that dimension, effectively changing from time to "spatial" domain or vice versa. I won't post any image to audio examples since they are generally really annoying, but here is a handful of audio samples converted to images (mainly game samples due to size and features): http://0x09.net/img/sfx1.png http://0x09.net/img/sfx1.png http://0x09.net/img/sfx2.png http://0x09.net/img/sfx2.png http://0x09.net/img/bgm1.png http://0x09.net/img/bgm1.png http://0x09.net/img/bgm2.png http://0x09.net/img/bgm2.png http://0x09.net/img/bgm3.png http://0x09.net/img/bgm3.png (warning 22mb) It's actually invertible aside from quantization and rounding errors, so there is for example this mp3-compressed Lenna: http://0x09.net/img/lenna.mp3.png http://0x09.net/img/lenna.mp3.png (the colorful fuzz is mainly from quantization/rounding rather than the compression itself) Or downsampled: http://0x09.net/img/lenna11khz.png http://0x09.net/img/lenna11khz.png Or upsampled: http://0x09.net/img/lenna96khz.png http://0x09.net/img/lenna96khz.png I can't imagine this is actually useful for anything but it is pretty neat.