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quoted 51 lines ----------> ----------
> From: Kent williams
> Sent: Wednesday, August 29, 2001 12:37 PM
> To: Anig Browl
> Cc: IDM List
> Subject: Re: [idm] Dissecting Windowlicker track #2
>
> The big problem with any of these picture to audio convertors is that
> they're limited to cartesian frequency VS amplitude plots. It's similar
> to the problems you run into with compressing image data -- a row/column
> traversal doesn't match the 'importance' weight of a picture.
>
> A prof of mine was a compression head and had some success with improving
> image coherence by using hilbert space-filling curves to traverse an
> image's
> pixels. That seems to improve the chance of exploiting
> neighbor-similarity.
>
> What I would do in a Coagula-type program to make it reflect a picture's
> composition I'm not sure, but some alternative mappings could be
> interesting
> as a way to give different results from the same image.
>
> I haven't seen anything like this on PC yet, but there's also some cool
> programs for SGI and other Unix boxes that allow you to diddle the
> sonogram
> in interesting ways, producing spectral shifts and compressions.
>
> If I'm not mistaken, you can use Coagula to build sonogram images from
> audio files too. It's interesting to take a sonogram of a sound and
> manipulate
> it in a photo editor, then re-render it. Simple transformations produce
> very interesting results. Horizontal stretching == time expansion, and
> pallette
> manipulations can screw up a sound radically. You can also take two
> sonograms,
> and do a visual crossfade of them to get a spectral sound morph.
>
> What fun. Too bad I can't blow off work for the rest of the day and go
> play
> with this stuff...
>
>
>
>
>
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