Lossless WebP is very good indeed. The main problem is that it is not very future-proof since it only supports 8-bit. For SDR images that's fine, but for HDR this is a fundamental limitation that is about as bad as GIF's limitation to 256 colors.
It is a good format when you can use it, but JPEG XL almost always compresses better anyway, and lacks color space and dimension limits.
The constraint was in WebP lossy to facilitate exact compatibility with VP8 specification and hoping that it would allow hardware decoding and encoding of WebP images using VP8 hardware.
Hardware encoding and decoding were never used, but the limitation stuck.
There was no serious plan to do hardware lossless, but the constraint was copied for "reducing confusion".
I didn't and don't like it that much as more PNG images couldn't be represented as WebP lossless as a result of that.
My desktop had a mixture of PNG and WebP files solely because of this limitation. I use the past tense because they've now all been converted to JPEG XL lossless.
Maybe you are thinking of high bit depth for archival use? I can see some use cases there where 8-bit is not sufficient, though personally I store high bit depth images in whatever raw format was produced by my camera (which is usually some variant of TIFF).
Also it's too power expensive to have your display in HDR if you're only showing SDR UIs, which not only is the common reality but will continue to be so for the foreseeable future.
Requiring every game, photo viewing app, drawing program, ... every application to decide how to do it's HDR->SDR seems unnecessary complication due to poor abstractions.
The locality of local tone mapping (the ideal approach to HDR->SDR mapping) would expose the window boundaries. Two photos or two halves of the same photo in different windows (as opposed to being in the same window) would create an artificial discontinuity for the correction fields being artificially contained within each window instead of spanning the users visual field as best as possible.
Every local tone mapping needs to make an assumption of the surrounding colors: is the window surrounded by black, gray, colored or bright light should influence how the tone mapping is done at borders. This information is not available for an app: it can only be done at the windowing system level or in the monitor.
The higher the quality of the HDR->SDR mapping in a system, the more opportunity there is to limit the maximum brightness, and thus also the opportunity for energy savings.
Games already do this regardless and it's part of their post processing pipelines that also govern aspects of their environmental look.
What's missing is HDR->Display which is why HDR games have you go through a clunky calibration process to attempt to reverse out what the display is going to the PQ signal, when what the game actually wants is what MacOS/iOS and now Android just give them - the exact amount of HDR headroom which the display doesn't manipulate.
As for your other examples, being able to target the display native range doesn't mean you have to. Every decent os has a compositor API that lets you offload this to the system.
https://zamundaaa.github.io/wayland/2023/12/18/update-on-hdr...
HDR is (or can be) good for video & photography, but it's absolutely ass for UI.
Besides, you can just throw a gainmap approach at it if you really care. Works great with jpeg, and gainmaps are being added to heif & avif as well, no reason jpegxl couldn't get the same treatment. The lack of "true 10-bit" is significantly less impactful at that point
Gainmaps "solve" the problem of computing a local tone mapping by declaring that it needs to be done at server side or at image creation time rather than at viewing time.
My prediction: Gainmaps are going to be too complex of a solution for us as a community and we are going to find something else that is easier. Perhaps we could end up standardizing a small set of local tone mapping algorithms applied at viewing time.
Which was already the case. A huge amount of phone camera quality is from advanced processing, not sensor improveds. Trying to get that same level of investment in all downstream clients is both unrealistic and significantly harder. A big aspect of why DolbyVision looks better is just Dolby forces everyone to use their tone mapping, and client consistency is critical.
Gainmaps also avoid the proprietary metadata disaster that plaugues HLG/PQ video content.
> If anything you get more banding: two bandings, one banding from each of the two 8-bit fields multiplied together.
The math works out such that you get the equivalent of something like 9 bits of depth but you're also not wasting bits on colors and luminance ranges you aren't using like you are with bt2020 hlg or PQ
Mixing two independent quantization sources will lead to more error.
Some decoding systems such as traditional jpeg does not specify results exactly so bit-perfect quantization-aware compensation is not going to be possible.
Go try the math out, the theoretical is higher than 9 bits but 8.5-9 bit equivalent is very achievable in practice. With two lossless 8 bit sources this is absolutely adequate for current displays, especially since again you're not wasting bits on things like PQ's absurd range.
Will this be added to webp? Probably not, it seems like a dead format regardless. But 8 bit isn't the death knell for HDR support as is otherwise believed.
You just cannot reach the best quality with 8 bits, not in SDR, not in HDR, not with gainmap HDR. Sometimes you don't care for a particular use case, and then 8 bits becomes acceptable. Many use cases remain where degradation by a compression system is unacceptable or creates too many complications.
uhh, no it isn't?
And gainmaps suck, take lots of space, don't reduce banding. Even SDR needs 10-bit in a lot of situations to not have banding.
> uhh, no it isn't?
Find me a single example of a UI in HDR for the UI components, not for photos/videos.
> Even SDR needs 10-bit in a lot of situations to not have banding.
You've probably been looking at 10-bit HDR content on an 8-bit display panel anyway (true 10-bit displays don't exist in mobile yet, for example). 8-bits works fine with a bit of dithering
Yes, but the place where you want dithering is in the display, not in the image. Dithering doesn't work with compression because it's exactly the type of high frequency detail that compression removes. It's much better to have a 10 bit image which makes the information low frequency (and lets the compression do a better job since a 10 bit image will naturally be more continuous than an 8 bit image since there is less rounding error in the pixels), and let the display do the dithering at the end.