Comment by strogonoff
1 year ago
Regardless of whether it is HDR or SDR, when processing raw data for display spaces one must throw out 90%+ of information of what was captured by the sensor (which is often a small amount of what was available at the scene already). There can simply be no objectivity, it is always about what you saw and what you want others to see, an inherently creative task.
90% really ? What color information get ejected exactly ? For the sensor part are you talking about the fact that the photosites don't cover all the surface ? Or that we only capture a short band of wavelength ? Or that the lens only focuses rays unto specific exact points and make the rest blurry and we loose 3D ?
Cameras capture linear brightness data, proportional to the number of photons that hit each pixel. Human eyes (film cameras too) basically process the logarithm of brightness data. So one of the first things a digital camera can do to throw out a bunch of unneeded data is to take the log of the linear values it records, and save that to disk. You lose a bunch of fine gradations of lightness in the brightest parts of the image. But humans can't tell.
Gamma encoding, which has been around since the earliest CRTs was a very basic solution to this fact. Nowadays it's silly for any high-dynamic image recording format to not encode data in a log format. Because it's so much more representative of human vision.
Ok so similar to the other commentator then, thanks. According to that metric its much more than 90% we’re throwing out then (:
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Raw photographs, don't, do that?
Third blind man touching the elephant here: the other commenters are wrong! it’s not about bit depth or linear-to-gamma, it’s the fact that the human eye can detect way more “stops” (the word doesn’t make sense you have to just look it up) of brightness (I guess you could say “a wider range of brightness”, but photography people all say “stops”) than the camera, and the camera can detect more stops of brightness than current formats can properly represent!
So you have to decide whether to lose the darker parts of the image or the brighter parts of the image you’re capturing. Either way, you’re losing information.
(In reality we’re all kind of right)
This was what I meant primarily.
Camera sensor can get <1% of what we can see, any display media (whether paper or screen, SDR or HDR, etc.) can show <1% of what camera sensor can get.
(That 1% figure is very rough, it will vary by scene conditions, but it is not very off.)
Add to that, what each of us sees is always subjective and depends on our preceding experience as well as shared cultural baggage.
As a result, it is a creative task. We selectively amplify and suppress aspects of raw data according to what the display space fits, what we think should be seen, what our audience would be expecting to see.
People in this thread claiming there to be some objective standard reference process for compressing/discarding extra data for display space completely miss the fundamental aspect of perception. There is no reference process for even a basic task of determining what counts as neutral grey.
(As a bonus point, think how as more and more of our visual input from the youngest ages comes from looking at bland JPEGs on shining rectangles with tiny dynamic ranges this shapes our common perception of reality, makes it less subjective and more universal. Compare with how before photography we really did not have any equivalent of some “standard”—not really, but we mistake it for such—representation of reality we must all adhere to.)
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A 4k 30fps video sensor capturing 8 bits per pixel (bayer pattern) image, is capturing 2 gigabits per second. That same 4k 30fps video on Youtube will be 20 megabits per second or less.
Luckily, it turns out relatively few people need to record random noise, so when we lower the data rate by 99% we get away with it.
1. I believe in modern cameras it’s 10+ bits per pixel, undebayered, but willing to be corrected. Raw-capable cameras capture 12+ bits of usable range. Data rates far exceed 5 gigabit per second.
2. Your second paragraph is a misunderstanding. Unless you really screw up shooting settings, it is not random noise but pretty usefully scene data available for mapping to narrow display space in whatever way you see fit.
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Presumably they're referring to the fact that most cameras capture ~12-14 bits of brightness vs the 8 that (non-hdr) displays show.
Oh that's normal then. There are mandatory steps of dynamic range reduction in the video editing / color grading pipeline (like a compressor in audio production). So the whole information is not lost but the precision / details can be yes. But that's a weird definition, there are so many photons in daylight capture that you could easily say we really need minimum 21 bits per channel minimum (light intensity of sun / light intensity of moon)
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