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This is a 3-part puzzle. Parts can be solved out of order, but, in the end, parts must be put together in order they appear (1, 2, 3) to solve the whole puzzle.

Parts are independent from each other. There is no need to combine pieces of different parts before every part is solved.

Every part contains a puzzle and its key. You'll have to figure out which is which.

Part 1:

Part 1

Part 2:

Part 2

Part 3:

Part 3

Important detail:

enter image description here

Hint 1:

The keys contain what has already been done.

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  • $\begingroup$ Am I on the right track? Unfortunately doing the same for R and B doesn't yield anything immediately obvious to me. For each pic I rotated the anomaly by the given number, then combined them into one pic. $\endgroup$ Commented Sep 22, 2023 at 8:24
  • $\begingroup$ @LukasRotter - I think you're a bit off the right course. I have updated the rules accordingly. $\endgroup$ Commented Sep 22, 2023 at 8:50
  • $\begingroup$ Are the images purposely in jpg format or are they supposed to be in a lossless one? $\endgroup$ Commented Sep 24, 2023 at 5:19
  • $\begingroup$ @SquareFinder - format does not matter. $\endgroup$ Commented Sep 24, 2023 at 9:22
  • $\begingroup$ @LukasRotter - the answer has been posted. $\endgroup$ Commented May 2 at 15:52

2 Answers 2

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Partial Answer:

So far I see the shapes represent degrees: 120 240 360 90 180 270 60 120 180. I'm guessing you somehow split each image into Red Green and Blue layers with a filter and then individually rotate only one of the layers the corresponding number of degrees counter-clockwise so that it overlaps revealing something. Use the small white circle to line up the rotated images. Must I go through with all that? If I had to guess, I would say the revealed images are constellations. Or something that can be used for triangulation.

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  • $\begingroup$ Sounds about right. However, those are not constellations. $\endgroup$ Commented Oct 21, 2023 at 11:50
  • $\begingroup$ The answer has been posted. $\endgroup$ Commented May 2 at 15:52
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Answer:

The 3 parts combine into みらい (how "future" (未来) in Japanese is pronounced)

How does it work:

Every image is a hirogana character split into 3 parts - red, green and blue channels, each one is third of the image, one 120° sector. In every part these sectors "point" at their corresponding, color coded by geometric shapes, azimuths. How shape encoding works: starting from triangle, which means zero, every additional corner of a shape adds 1. Square means 1, Pentagon means 2 and so on. To see the original character one needs to increase image contrast, then undo the rotation of the sectors accordingly - in other words, make them point back "north" (top of the image).

Part 1:

mi - み. Azimuths - R: 120 G: 240 B: 360.

Unsolved: enter image description here

Solved: enter image description here

Part 2:

ra - ら. Azimuths - R: 90, G: 180, B: 270.

Unsolved: enter image description here

Solved: enter image description here

Part 3:

i - い. Azimuths - R: 60, G: 120, B: 180.

Unsolved: enter image description here

Solved: enter image description here

Notes:

Puzzle was made in Blender (character images) and python (shapes). The lines on the images are sector pointers; what azimuth they are pointing at. This puzzle may have suffered from lack of clues, apologies.

Also:

Material nodes used to make this pizzle: enter image description hereEmbarassingly messy, but it was fun :)

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  • $\begingroup$ I'm still not sure how to extract each of the colours from the image. Trying to only extract colours close to pure red did not give me anything that resembled the images you gave. Could you give some details on this? $\endgroup$ Commented Oct 25 at 9:03
  • $\begingroup$ @SquareFinder - you need to get red, green and blue channels of an image in an image editor and then work with them. $\endgroup$ Commented Oct 26 at 12:31
  • $\begingroup$ I've had a look at those channels and I can vaguely see the glyphs, but I'm not sure how to go about getting rid of the noise? $\endgroup$ Commented Oct 26 at 23:31
  • $\begingroup$ @SquareFinder - increasing contrast should filter the noise out. $\endgroup$ Commented Oct 27 at 12:50
  • $\begingroup$ I increased contrast as much as I could but this is all I could get, I think there's still a processing step that I'm missing $\endgroup$ Commented Oct 28 at 8:07

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