QR Averages Based on Pixel Dimensions
So the averages I’ve been producing have been normalized to one specific size, in this case, 2400 x 2400 pixels for the generated, clean QRs. However, the actual encoded pixel width of the QR depends on how much data one wishes to encode. If you look at any of the composites I’ve done, you see that the anchoring squares come in various sizes, creating a blurry perspective effect in the saved composite.
To generate “clean” averages, then, I would need to sort the QRs by size and produce averages off those subsets. Which is what I did. Here’s a quick histogram of the QR sizes I have, using today’s set of 180 total QRs:
This is something of a “long tail” graph, with a big bulge in the smaller sizes and very few in the larger sizes. In fact, the three largest sizes only have one member each, which means no composite is possible. Those I will not include. The rest, however, I did composite, and the results are here:
Notice how crisp the anchoring areas of the QR graphic are now, as opposed to the data areas, which vary with each QR. Alas, none of these “clean” composites actually goes anywhere, at least not with the QR reader on my phone.