Archived from groups: rec.photo.digital,rec.video.desktop,aus.photo,rec.photo.equipment.35mm,rec.video.production (
More info?)
"FLY135" <fly_135(@ hot not not)notmail.com> wrote in message news:<_miFc.23132$bs4.6774@newsread3.news.atl.earthlink.net>...
> "George Preddy" <george_preddy@yahoo.com> wrote in message
> news:e61e09e9.0407021054.715ae42c@posting.google.com...
> > "Bart van der Wolf" <bvdwolf@no.spam> wrote in message
> news:<40e56ef0$0$36860$e4fe514c@news.xs4all.nl>...
> > > "George Preddy" <george_preddy@yahoo.com> wrote in message
> > > news:e61e09e9.0407020402.33e2594d@posting.google.com...
> > > SNIP
> > > > The precise spectral response of the 10M is published all over
> > > > the web, same for the 5M.
> > > >
> > >
>
http://www.hanvision.com/contents/products/HVDUO3-10M_June_20_2004_HVC.pdf
> > >
> > > Which indicates that e.g. green (550 nm wavelength) is seen as 49% blue,
> > > 63%green, and 45% red.
> >
> > The ideal spectral response curves overlay the Foveon curves almost
> > precisely (which is intentional of course), that is why Foveon is the
> > only option for scientitfically perfect work. Colors are quantum
> > accurate, all Bayer colors are guessed--100% of the output pixles are
> > totally wrong, thus all Bayer images are of exactly zero scientific
> > value.
>
> They can't be totally wrong and I can prove it. Just take a picture and
> make them more wrong, which wouldn't be possible if they were totally wrong.
> Then the picture will become unrecognizable.
75% guessed pixels using values that are interpolated smack dab
between their two neighbors isn't unrecognizable, it is just horribly
low optical resolution.
You don't understand any of this.