You spoke the way an expert speaks to a student
And there again we see the condescension. Rather than casting aspersions at the mental state required for someone to be willing to confidently contradict you, try introspection, a topic with which I see you must be unfamiliar. Good day!Let me speak as a doctor speaks to a patient.
You need definitely some camomille
Oh, that's a neat site. On that site, at iso 3200 up to the practical maximum, the D5's dynamic range is above almost anything else they have data for. The Canon R3 may have comparable DR with better signal to noise (less noise at a given iso), and the last couple sony a7's are pretty close in DR, but that site's charts might justify the D5 even today. It does say it applies an adjustment based on pixel size, and I didn't have time to read enough about their methods to be certain whether they're accidentally making lower resolution cameras like the D5 look better than they are, which is common. Some of the pages on that site say different things about what their actual methodology was.Just to broaden the camera considerations a bit, dynamic range is a large factor in this campaign. Lots of different illumination intensities make a single capture covering them all without either blowing through the sensor saturation and on the other end have large regions in the nether values near black, challenging. Here you'll find DR graphs of the D6, D850, and Z9 for comparison:
https://www.photonstophotos.net/Charts/PDR.htm
Best camera for DR at all ISOs is the D850, more recent sensor than the D6. IMHO the best all-round camera for the mission is the Z9, decent DR performance and no flappy-mirror, something else to break.
Edit: forgot a word.
He uses a personal definition for photographic (vs engineering) dynamic range, 1:20, which is more practically useful in assessing a modern sensor's ability to resolve luminance for renditions:Oh, that's a neat site. On that site, at iso 3200 up to the practical maximum, the D5's dynamic range is above almost anything else they have data for. The Canon R3 may have comparable DR with better signal to noise (less noise at a given iso), and the last couple sony a7's are pretty close in DR, but that site's charts might justify the D5 even today. It does say it applies an adjustment based on pixel size, and I didn't have time to read enough about their methods to be certain whether they're accidentally making lower resolution cameras like the D5 look better than they are, which is common. Some of the pages on that site say different things about what their actual methodology was.
The reason it's possible, depending what they actually did, is that no matter what the sensor-pixel SNR is, once you downscale the original images from different original sizes to a fixed-sized output image, the output SNR gets better as a function of how much you downscaled, because you combine the signal from multiple pixels but the uncorrectable part of noise is random, and when you add the randoms up they often cancel out. If the true SNR changes, so does the point where that SNR intercepts the threshold, and so does the DR that you get using this new intercept value.
Quite possible.Digital vs analog. Analog noise is more natural looking it is easier for us to humans filter out. Digital noise is more jarring and sometimes can lead to an entire loss of frame. I would add though that your dad expectations were also lower and nostalgia has filled in the blanks of that very detail limited early footage. Like people which remember how great a video game is and then are shocked playing it again after 30 years.
Quite possible.
I was also kinda dissapointed tho in how much pixelation break-up they had in the stream. Not sure what the point is in having high definition video when it jumbles into massive blocks frequently. You'd have thought they would be making darn sure to have a good link with no packet loss or signal issues in the feeds.
There are noise-reduction processes that could have been added to make the effects less jarring. Some of today's ML-based routines do an amazing job of filling in the highest-frequency content when the signal partially degrades. In fact, NASA probably could have trained their own system based on modeled data that would have been very close to the real thing. But that would have required NASA to put anything but the bare minimum of work in their PR efforts. It's the same lack of effort that went into the launch coverage where bandwidth limitations aren't a thing.The point of HD video (and photos) is that everything captured is coming back to Earth in its full quality. Improving cislunar communications with relay sats and optical links is part of NASA longterm goal but it is going to take years and lots of infrastructure funding.
Realtime 4K highbitrate video streaming from cislunar space without pixelation and other issues is likely a fantasy for at least the next half decade.
It's fine if it's 1:20 or some other number, the problem is whether or not he accidentally compares cameras unfairly, making higher-resolution cameras score worse than lower-resolution ones. I don't know if that's what he's doing or not.He uses a personal definition for photographic (vs engineering) dynamic range, 1:20, which is more practically useful in assessing a modern sensor's ability to resolve luminance for renditions:
https://www.photonstophotos.net/Gen...ngineering_and_Photographic_Dynamic_Range.htm
I find the page very useful for comparing cameras, maybe less so for assessing actual performance in a quantitative fashion.
ML filling in the gaps would be exactly what they shouldn't do, it would be very bad PR to be caught faking some of the media even if they were using legitimate data as their base.There are noise-reduction processes that could have been added to make the effects less jarring. Some of today's ML-based routines do an amazing job of filling in the highest-frequency content when the signal partially degrades. In fact, NASA probably could have trained their own system based on modeled data that would have been very close to the real thing. But that would have required NASA to put anything but the bare minimum of work in their PR efforts. It's the same lack of effort that went into the launch coverage where bandwidth limitations aren't a thing.
This is all ground-side effort. There would have been zero impact on the mission objectives. But this is NASA operating on a shoe-string budget except where the real money is beingwastedspent.
ML-denoised data is just a representative of the photons that hit the sensor as noise-filled frames. It's all for PR purposes anyways. As such, being more pleasant to consume would be better.It's fine if it's 1:20 or some other number, the problem is whether or not he accidentally compares cameras unfairly, making higher-resolution cameras score worse than lower-resolution ones. I don't know if that's what he's doing or not.
ML filling in the gaps would be exactly what they shouldn't do, it would be very bad PR to be caught faking some of the media even if they were using legitimate data as their base.
Regarding the DR charts, he does some sort of normalization based on the particular sensor's circle of confusion, a bit beyond my ken. If you're seeing some incongruity, might be there.It's fine if it's 1:20 or some other number, the problem is whether or not he accidentally compares cameras unfairly, making higher-resolution cameras score worse than lower-resolution ones. I don't know if that's what he's doing or not.
ML filling in the gaps would be exactly what they shouldn't do, it would be very bad PR to be caught faking some of the media even if they were using legitimate data as their base.
Heh, the HDR, or 'high-dynamic range' of cell phones is a combination of multiple exposures. I find it a bit creepy to take a photo with my phone, immediately look at it in the gallery, and watch as the software replaces the blown-out rendition with a one that properly exposes the blown-out regions.ML-denoised data is just a representative of the photons that hit the sensor as noise-filled frames. It's all for PR purposes anyways. As such, being more pleasant to consume would be better.
Hell, offer both streams. It's terrestrial at this point. Who cares if you double up the feed? Finally, release the actual video stream in full definition after the optical signal was established again.
Edit: You do realize that all those iPhone photos NASA has released are filled with ML enhancements, right?
I disagree with the characterization of those changes as damage. When the purpose is to reproduce what a person would see if there, processing the sensor capture to shift the image towards a correct representation is just part of the purpose of the system. (Of course, it is different if the data being captured in the purpose and the processing is to make it more comprehensible to humans.)all are damage to the original data.
Every single manipulation of a measured luminance from a sensor's photosite departs from the measurement, therefore, 'damage'. The light at the scene is the reference, as it is what enters the eye of the observer.I disagree with the characterization of those changes as damage. When the purpose is to reproduce what a person would see if there, processing the sensor capture to shift the image towards a correct representation is just part of the purpose of the system. (Of course, it is different if the data being captured in the purpose and the processing is to make it more comprehensible to humans.)
Raw sensor data isn't valid data. It's device-dependent data. Only device-independent data is valid data.Every single manipulation of a measured luminance from a sensor's photosite departs from the measurement, therefore, 'damage'. The light at the scene is the reference, as it is what enters the eye of the observer.
To make viewable renditions upon a medium, all manner of manipulation is required to meet the medium's limitations. What you look at in a photograph on a monitor, or worse, paper, is just a coarse approximation to what was observed at the scene.
Ref: wrote my own raw processing software when I couldn't find any other program that did it the way I wanted:
https://github.com/butcherg/rawproc
You apparently haven't worked with photographers who insist on editing JPEGS and wonder why they look like shit. Damage was already done...Raw sensor data isn't valid data. It's device-dependent data. Only device-independent data is valid data.
However, the process of removing instrument-specific artifacts doesn't count as damage. It's necessary processing.
Hey, doesn't matter what I know or whether it makes sense. Just matters whether someone can make it a talking point, and it doesn't have to be that strong of one to still work for conspiracy theorists.ML-denoised data is just a representative of the photons that hit the sensor as noise-filled frames. It's all for PR purposes anyways. As such, being more pleasant to consume would be better.
Hell, offer both streams. It's terrestrial at this point. Who cares if you double up the feed? Finally, release the actual video stream in full definition after the optical signal was established again.
Edit: You do realize that all those iPhone photos NASA has released are filled with ML enhancements, right?
At least on the NASA stream we were watching, even the ground based video during ascent was breaking up and pixelating frequently as well. Since it was views looking up from the ground I'd have thought it would be on fiber or similar easy to do high bandwidth terrestrial links. The commentators never broke up so I don't THINK it was on my endThe point of HD video (and photos) is that everything captured is coming back to Earth in its full quality. Improving cislunar communications with relay sats and optical links is part of NASA longterm goal but it is going to take years and lots of infrastructure funding.
Realtime 4K highbitrate video streaming from cislunar space without pixelation and other issues is likely beyond NASA capabilities for at least the next half decade.
NASA does have plans for a pretty comprehensive constellation of sats around the moon called LCRNS (Lunar Communication Relay and Navigation Services) which would provide not just high bandwidth communication links but also PNT ("GPS") and SAR capabilities.
View attachment 132494
How many sats is hard to say because NASA wisely didn't define the number of sats in the contract only the capabilities and coverage however the full network (2032+) will likely require a dozen or more.
During one dress rehearsal or another, there was some commentary that communications to the launch site is always iffy. I'm guessing all the tall metal structures wreak havoc with micro- and radio waves. Which also probably suggests there isn't a fiber run to the launch site.At least on the NASA stream we were watching, even the ground based video during ascent was breaking up and pixelating frequently as well. Since it was views looking up from the ground I'd have thought it would be on fiber or similar easy to do high bandwidth terrestrial links. The commentators never broke up so I don't THINK it was on my end
Interesting - I would have thought they'd have all their official camera tracking sites run with something very solid (even if its temporary spooled out and rolled up after the event)During one dress rehearsal or another, there was some commentary that communications to the launch site is always iffy. I'm guessing all the tall metal structures wreak havoc with micro- and radio waves. Which also probably suggests there isn't a fiber run to the launch site.