Hi Lynne On Mon, Mar 23, 2026 at 09:59:00PM +0100, Lynne via ffmpeg-devel wrote: > On 23/03/2026 18:20, Michael Niedermayer via ffmpeg-devel wrote: [...] > > Sadly i dont have the time ATM to properly read all the papers but > > There are some apparent low complexity transforms like the star tetrix > > transforms > > https://sci-hub.box/10.1109/TIP.2021.3095421 > > This here compares it for lossless images with some other transforms > > https://www.cs.tsukuba.ac.jp/~taizo/pdf/journal/202209_TIP.pdf > > > > Also advances in color image demosaicing (not compression specific IIUC) > > can be seen in this series of papers, maybe some ideas can be used from > > these ? > > https://sci-hub.box/10.1109/TIP.2016.2518082 MLRI (compares 12 algorithms) > > Debayering is a solved problem IMO, I agree that neural networks are the > future. > I don't see why you're linking it, though.
Look at this: (in a monospaced font) Debayering is finding the missing 2 of RGB values potentially using all surrounding values Decorrelation is finding the non missing RGB value potentially using all surrounding values and then subtracting it What iam trying to say is there is some overlap of these 2 operations, namely that they compute RGB values based on surroundings which may be other RGB or partly decorrelated. Thus concepts and ideas from Debayering can likely be used in Decorrelation I will reply to the rest of your mail separatly so as to keep this non confusing thx [...] -- Michael GnuPG fingerprint: 9FF2128B147EF6730BADF133611EC787040B0FAB He who knows, does not speak. He who speaks, does not know. -- Lao Tsu
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