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XCSme

I am confused by the color filter step.

Is the output produced by the sensor RGB or a single value per pixel?

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In its most raw form, camera sensors only see illumination not color.

In front of the sensor is a bayer filter which results in each physical pixel seeing illumination filtered R G or B.

From there the software onboard the camera or in your RAW converter does interpolation to create RGB values at each pixel. For example if the local pixel is R filtered, it then interpolates its G & B values from nearby pixels of that filter.

https://en.wikipedia.org/wiki/Bayer_filter

There are alternatives such as what Fuji does with its X-trans sensor filter.

https://en.wikipedia.org/wiki/Fujifilm_X-Trans_sensor

Another alternative is Foveon (owned by Sigma now) which makes full color pixel sensors but they have not kept up with state of the art.

https://en.wikipedia.org/wiki/Foveon_X3_sensor

This is also why Leica B&W sensor cameras have higher apparently sharpness & ISO sensitivity than the related color sensor models because there is no filter in front or software interpolation happening.

What about taking 3 photos while quickly changing the filter (e.g. filters are something like quantum dots that can be turned on/off)?

> What about taking 3 photos while quickly changing the filter

Works great. Most astro shots are taken using a monochrome sensor and filter wheel.

> filters are something like quantum dots that can be turned on/off

If anyone has this tech, plz let me know! Maybe an etalon?

https://en.wikipedia.org/wiki/Fabry%E2%80%93P%C3%A9rot_inter...

> If anyone has this tech, plz let me know!

I have no idea, it was my first thought when I thought of modern color filters.

That's how the earliest color photography worked. "Making color separations by reloading the camera and changing the filter between exposures was inconvenient", notes Wikipedia.

I think they are both more asking about 'per pixel color filters'; that is, something like a sensor filter/glass but the color separators could change (at least 'per-line') fast enough to get a proper readout of the color in formation.

AKA imagine a camera with R/G/B filters being quickly rotated out for 3 exposures, then imagine it again but the technology is integrated right into the sensor (and, ideally, the sensor and switching mechanism is fast enough to read out with rolling shutter competitive with modern ILCs)

Works for static images, but if there's motion the "changing the filters" part is never fast enough, there will always be colour fringing somewhere.

Edit or maybe it does work? I've watched at least one movie on a DLP type video projector with sequential colour and not noticed colour fringing. But still photos have much higher demand here.

Olympus and other cameras can do this with "pixel shift": it uses the stabilization mechanism to quickly move the sensor by 1 pixel.

https://en.wikipedia.org/wiki/Pixel_shift

EDIT: Sigma also has "Foveon" sensors that do not have the filter and instead stacks multiple sensors (for different wavelengths) at each pixel.

https://en.wikipedia.org/wiki/Foveon_X3_sensor

You can use sets of exotic mirrors and/or prisms to split incoming images into separate RGB beams into three independent monochrome sensors, through the same singular lens and all at once. That's what "3CCD" cameras and their predecessors did.

B&W sensors are generally more sensitive than their color versions, as all filters (going back to signal processing..) attenuate the signal.

The sensor outputs a single value per pixel. A later processing step is needed to interpret that data given knowledge about the color filter (usually Bayer pattern) in front of the sensor.

The raw sensor output is a single value per sensor pixel, each of which is behind a red, green, or blue color filter. So to get a usable image (where each pixel has a value for all three colors), we have to somehow condense the values from some number of these sensor pixels. This is the "Debayering" process.

It's a single value per pixel, but each pixel has a different color filter in front of it, so it's effectively that each pixel is one of R, G, or B

So, for a 3x3 image, the input data would be 9 values like:

   R G B
   B R G
   G B R

?

In the example ("let's color each pixel ...") the layout is:

  R G
  G B

Then at a later stage the image is green because "There are twice as many green pixels in the filter matrix".

And this is important because our perception is more sensitive to luminance changes than color, and with our eyes being most sensitive to green, luminance is also. So, higher perceived spatial resolution by using more green [1]. This is also why JPG has lower resolution red and green channels, and why modern OLED usually use a pentile display, with only green being at full resolutio [2].

[1] https://en.wikipedia.org/wiki/Bayer_filter#Explanation

[2] https://en.wikipedia.org/wiki/PenTile_matrix_family

Funny that subpixels and camera sensors aren't using the same layouts.

It would only be relevant if viewing the image at one-to-one resolution, which is extremely rare.

Pentile displays are acceptable for photos and videos, but look really horrible displaying text and fine detail --- which looks almost like what you'd see on an old triad-shadow-mask colour CRT.

If you want "3x3 colored image", you would need 6x6 of the bayer filter pixels.

Each RGB pixel would be 2x2 grid of

``` G R B G ```

So G appears twice as many as other colors (this is mostly the same for both the screen and sensor technology).

There are different ways to do the color filter layouts for screens and sensors (Fuji X-Trans have different layout, for example).

This depends on the camera and the sensor's bayer filter [0]. For example the quad bayer uses a 4x4 like:

    G G R R
    G G R R
    B B G G
    B B G G

[0]: https://en.wikipedia.org/wiki/Bayer_filter

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