[kllrnohj]

For things where you actually care about lossless you probably also don't care about 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

[JyrkiAlakuijala]

Gainmaps don't solve 8-bit mach banding. If anything you get more banding: two bandings, one banding from each of the two 8-bit fields multiplied together.

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.

[kllrnohj]

> 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.

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

[JyrkiAlakuijala]

I didn't try it out, but I don't see the 9 bit coming. I feel it gives about 7.5 bits.

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.

[kllrnohj]

The context of this thread is lossless webp, there aren't any compression artifacts to deal with.

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.

[JyrkiAlakuijala]

This depends on the quality you are aiming for.

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.

[lonjil]

> but it's absolutely ass for UI.

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.

[kllrnohj]

> > but it's absolutely ass for UI.

> 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

[adgjlsfhk1]

> 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.

[maxoverpower]

Gainmaps only take a lot of space if implemented poorly in the software creating the gainmap. On Pixel phones they take up 2% of the image size, by being stored in quarter resolution and scaling back up during decoding, which works fine on all gainmap-supported devices. They're more prone to banding, but it's definitely not a problem with all images.

[lonjil]

I guess I should say, take up lots of space unless you're OK with lower quality. In any case, gainmaps are entirely unrelated to the 8 bit vs 10 bit question. The more range you have (gamut or brightness) the worse 8 bit is, regardless of whether you're using a gainmap or not. And you can use gainmaps with 10 bit images.