[theora] NHW future development

[Raphael Canut]

Hello,

I could find some time these last weeks to work on NHW... I tried to
improve the global tuning, I coded some new processings, but none of that
worked.My aim is not to increase neatness (as it tends to oversharpen, for
me) but to keep the current neatness and improve more and more
precision.... But I didn't manage to improve that aspect.Now it seems very
hard to achieve a real visual improvement in that regards (for me), but
actually I am happy with the visual results of NHW v0.3.0-rc1 last
version.I know I really shouldn't say this and you'll consider me as an
unserious troll, but as my eyes seem very sensitive to neatness, then I
visually prefer the results of NHW v0.3.0-rc1 than the latest version of
AVIF and VVC VTM 12.3... -so maybe I'll also freeze this version and bump
the number to the official v0.3.0 release...-

As I said (yes many times), I think now that an extremely important and
beneficial processing to develop would be a post-processing filter that
will remove aliasing from decoded images and that would globally improve
reconstructed quality. But I am a total newbie with it... I have read that
there are anti-aliasing filters, but would they work on NHW decoded images?
I also could think of machine learning for this design, and for example
train a model on aliasing patterns (which are often the same)? I would also
like that this post-processing enhancement filter stays compatible with my
very fast decoding/high speed goals if possible.As I will have less time
now to work on NHW, it would be great if I could find a collaboration for
this so important post-processing design.If you could help, do not hesitate
to show up!

Cheers,
Raphael
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