What the imager has

Started Feb 11, 2014 | Discussions thread
mike earussi Veteran Member • Posts: 7,686
Re: What the imager has

Laurence Matson wrote:

What the imager has is 19 million spatial locations. How the pixels are counted is once again a big deal for those discussion types. I am guessing that the G and R layers each have around 5 million pixels and the top B, 19 million. Or thereabouts.

Of course, some of our favorite negativists will argue that this is not really an X3 imager. That also, is nonsense. There are 3 layers (X3) each of which collects stuff to yield a full-color reading at each spatial location. The oh-so obvious - at least to Ricardo - interpolation that has to be going on is a moot point at best. Moot on, if you want.

Finally, on the critical point of pixel-level sharpness - acuity - it is there, as always. The question really is how one could conceive it not being there. Acuity or mush, depending on the technology, is defined by the top layer. In the case of the single-layer Bayer process in all of its iterations, the mush comes from the fact that none of the pixels is acute from its neighbors. The Foveon imager pixels are. The 19 million plus acute blue pixels in the top layer define the spatial locations.

To my mind, this imager is true to the process. Just a different solution.

It may be a bit less straightforward and thus harder for some to get their heads around. Just wait for the images and duct-tape your jaws for support ahead of time.

The problem is this: because only the blue layer can differentiate color variations for each set of 4 pixels, if you have the blue component the same but the other color channels different then instead of four different tones you're only going to see one that was the average of the four, so you're inevitably going to lose some subtle color variations that the present Merrill sensor can see.

I created this chart as an example of what I mean:

four unique colors get averaged into one if the blue channel is the same

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