That aside...my wife is a dark skinned person. That I cannot take a normal photo of her without blowing out the background is infuriating. Think a simple sunset pic. If I just snap, she looks like a black blob. If I click her face, she looks normal but standing in front of a nuclear blast.
Not because I think any company is racist, but because I wonder why we are still stuck with it. If our eyes see people in a way, and have for all of time, why in the age of nanobots and ai and everything else still failing so badly?
We're stuck with it because it's a hard problem.
Where is the big disconnect in that our own eyes can do these things so easily, and no camera can? It's not any insult to cameras, but a genuine question.
The limitation in all photographic technologies has to do with the fundamental light gathering mechanism. In the case of photographic film, it is grains of photosensitive chemicals such as silver halides. In the case of digital cameras it is photosensitive semiconductors called CCDs or CMOS sensors. These sensors (chemical and digital) operate by collecting photons during the exposure. In either case, and with our eyes too, they can only collect so many photons before they “fill up.”
In the case of film, this meant enough photons had arrived at the grain of silver halide to provide it with the energy needed to cause the reaction to take place. This reaction causes an irreversible change in the colour of the grain. In the case of digital sensors, when enough photons arrive the device stores its maximum possible charge which is then read out and converted to a number (usually the maximum number for that integer type).
So then why can’t we make photographic technology that can gather a larger number of photons before “filling up”? It’s a tradeoff. The larger we make the (sensors or film grains) the more capacity for light gathering (called dynamic range) they have, but the lower the resolution they have. Unfortunately, in the world of consumer devices, resolution (megapixels) is king.
The fundamental problem we’re dealing with in nature is that the dynamic range of real life is many orders of magnitude. Outdoor midday sunlight can be something like a hundred million photons per second per pixel whereas night time under starlight that falls to less than one photon per second per pixel.
Our eyes aren't actually 24 bit per frame. In fact our eyes are pretty shit. What they're good at is fairly quickly moving and adjusting, and are backed by a processor (our brain) that is capable of converting that data into a spatially aware image.
In fact our brain doesn't even really see much of the view. It's filling in a lot of blanks based on the understanding of the scene.
Cameras are trying to capture that into a still. You can capture multiple stills together with different exposures, but you're going to battle things like motion etc..
Most cameras these days are in the 10-14 bit range which is a function of the range the photosites will respond too before saturating, but also given that most displays are 8 bit, after a point there's just diminishing gains.
14 bits allows for a lot of latitude when shooting and processing.
Supporting more range of color depth means that the raw output of the sensor is necessarily bigger. This means we have some range of tradeoffs to make in the camera:
* Save the sensor output directly as a RAW image onto storage. This means your storage medium can store fewer photos. You're also now beholden to the speed of your storage. Specialty photography like wildlife and sports impose requirements like being able to take lots of pictures per second; cameras solve this by having large memory buffers. Slow storage means the buffer fills up quicker.
* Compress your RAW images with lossless algorithms. These do a decent job, but they still result in big files on storage media. Same problems as earlier point. Need quite a bit of memory and CPU on the camera to deal with this, and plus this now competes with how many shots per second you can buffer.
* Compress your images with lossy algorithms (output RAW or JPEGs). Pretty much unacceptable since you don't get to decide what detail the algorithm removes.
Of course, this also imposes hardware demands on the photographer's computer. Big images require:
* Lots of storage. Maybe time to pay for a lot of cloud storage?
* Fast storage too because otherwise Lightroom takes forever to load an image
* Lots of RAM so that Lightroom can cache more images at once so you can flip back and forth with more ease.
* Fast RAM and CPU so that Lightroom can do adjustments without much lag (some of this can be offloaded to GPU, but it's not a drastic improvement).
Now, I think these problems are solvable today. They just require obscene amounts of money.
I do want to add, RAW images by today's consumer-level cameras do support a fairly wide dynamic range. A skilled photographer will know how to work with RAW files to bring out details from the extreme ends of the range (e.g. dark skin against a bright background). But it does require setting up the shot well, and one can only capture so much range (e.g. I have a few bird pictures where part of the bird is still totally blown out and unrecoverable because of sunlight).
If your wife’s skin is significantly darker than the background and your photographic process doesn’t have the dynamic range for both, you can e.g. use fill flash, bounce extra light off a large reflector onto her face, use a filter over the lens (works well for taking B&W images in some situations), or take a picture using a process with better dynamic range (and optionally play with the image when printing, either lightening specific parts or applying some global lightness curve; e.g. you can take 2 pictures with one exposed for the foreground and the other exposed for the background and blend them in software).
> Think a simple sunset pic. If I just snap, she looks like a black blob.
This happens to a substantial extent to people of all skin tones, though the darker the skin the harder it gets. The sunset is much, much brighter than foreground objects. Try fill flash (and if the results are poor, try to figure out how to position your flash somewhere further from the lens, e.g. by using a separate flash).
My iphone 13 for example visibly highlights my face in a backlit selfie a few seconds after taking the photo.
Photography and digital sensors are less than 200 years old.
The film technology 50 years ago was not racist. The people who designed that film technology didn't care enough to put the effort into developing film technology that could discern multiple shades of darker skin tones. It is not direct racism like actively trying to take away a black person's right to vote. It is indirect racism of not caring enough about black people to try to make film record their skin tones better. Once the furniture and chocolate industry showed up with the money to have brown tones recorded better on film suddenly Kodak was interested.
https://gizmodo.com/this-amazing-camera-can-capture-both-the...
The size of sensors is decreasing, and currently you can recreate the performance of that 2012 tech with a sensor about 20% its size but about the same price.
The problem with cameras is this: You need more sensors crammed into smaller space (megapixels) with higher resolution of the range of frequencies each sensor captures (dynamic range,) and/or a higher rate of sampling per sensor to improve the quality of images (framerate.)
The chips used are already running at maximum speed, so the size of a sensor is constrained by how many pixels can be processed at framerates expected by consumers, usually 30 to 60 fps for video.
You can adjust the dynamic range using physical color filters in the lenses, removing all infrared for example. Then the sensors will only trigger on visible light, and you can tweak the sensors to bethere are other tricks used to optimize what's being captured. The issue is sensitivity - the number of photons hitting a sensor required to activate it. Darker colors reflect fewer photons, so lighter colors "overwhelm" the sensors. Even multiple samples can't overcome some of the limitations, among which is certain conditions in which black skin shows up weirdly in video and images (to the perennial frustration of digital photographers, and a frequent topic of complaint amongst pornographers.)
https://www.ovt.com/sensors/OV9716
This latest high end sensor has between 18-20 bits of dynamic range, or 120db resolution. This is getting close to human performance, and if the world doesn't fall apart in the next ten years, there will be human equivalent hdr cameras on phones, and there won't be a camera problem for darker skinned people anymore.
In the meantime, if your camera can save photos in .raw format, it's the unprocessed output from the sensor itself. You can process the raw pictures with desktop applications like photoshop to correct the colors, and turn those sunset photos of your wife into memories instead of disappointments. https://en.wikipedia.org/wiki/Raw_image_format
There's a whole slew of tutorials and applications for correcting issues with skin tones and different lighting conditions. There's a bit of a learning curve, but something most people can accomplish in an afternoon.
Or maybe that would make no sense, so there's no basis for your conspiratorial conjecture.