Watch the YouTube video Coded Mask - Sixty Symbols and

have a look at this published paper: Hexagonal Uniformly Redundant Arrays for Coded-Aperture Imaging.

**Question**: Mathematically how is it possible to use such patterns to uniquely identify the source of light? How selecting the prime number order helps in this process?

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TopNewestThis is an interesting subject. Unfortunately, I'm not versed enough in group theory to be able to fully answer your question, but for those unfamiliar with this technique the basic concept is that if any number of the same mask of this type is overlapped and added together, it will always be possible to uniquely "undo" the summation. Let's say an 1D aperture mask has the function \(M(x)\). Then such a sum would be \(\sum _{ k }^{ }{ { a }_{ k }M\left( x+{ b }_{ k } \right) }\), where \(a\) is an arbitrary coefficient representing the luminosity of a source in a particular direction, and \(b\) is the offset representing that direction. Given this sum, can it be "unpacked" to determine the unique \(a,b\) of each source? For most arbitrary aperture masks, it cannot be, but for these "uniformly redundant arrays", taking advantage of certain mathematical properties, it can always be uniquely unpacked. For practical use, the aperture mask is a 2D function \(M(x,y)\), and many such arrays are possible with this mathematical property.

Here's an introductory text on this subject by NASA

Coded aperture camera imaging concept – Michael Mendrin · 1 year ago

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– Vikram Pandya · 1 year ago

Thanks Scythian, that link was helpful, the intriguing question is that why a prime number order has the property to uniquely identify all the sources. I have also gone through the mark generation algorithm as given in that paper which I had shared, but I am confused about references of primes of form 4n-1 and 12n+7. why only those particular form of primes work, is beyond me. Opps I just realized that I am still used to your screen name from Y!A , I hope that's fine with you :)Log in to reply

It might interest you that there are some parallels in cellular automata with this subject of "unpacking" optical information. That is to say, while most cellular automata algorithms do not allow "reconstruction of previous stages", some can be.

There's been an explosion in optical theory and image processing concurrent with the rise of computers in the 20th century, so it's been fascinating to see stuff like this come up. You know, along with things like phased array radars, radio telescope interferometry, thin-film optics, "lens-less" cameras, etc. I really appreciate your bringing attention to coded mask apertures, it seems to suggest possibilities. – Michael Mendrin · 1 year ago

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