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 -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xiph.org/pipermail/theora/attachments/20230810/09a4ce3d/attachment.htm>