On the “better compression” front, I’d also add that I doubt that either PNG or WebP represent the pinnacle of image compression. IIRC from some years back, the best known general-purpose lossless compressors are neural-net based, and not fast.
These guys apparently ran a number of tests. They had a neural-net-based compressor named “NNCP” get their best compression ratio, beating out the also-neural-net-based PAC, which was the compressor I think I recall.
The compression time for either was far longer than for traditional non-neural-net compressors like LZMA, with NNCP taking about 12 times as long as PAC and PAC taking about 127 times as long as LZMA.
On the “better compression” front, I’d also add that I doubt that either PNG or WebP represent the pinnacle of image compression. IIRC from some years back, the best known general-purpose lossless compressors are neural-net based, and not fast.
kagis
https://fahaihi.github.io/NNLCB/
These guys apparently ran a number of tests. They had a neural-net-based compressor named “NNCP” get their best compression ratio, beating out the also-neural-net-based PAC, which was the compressor I think I recall.
The compression time for either was far longer than for traditional non-neural-net compressors like LZMA, with NNCP taking about 12 times as long as PAC and PAC taking about 127 times as long as LZMA.