Here's a very silly baby possum that tried to climb up a tree when it saw me coming: https://gallery.brainonfire.net/v2/image/14802

The tree was only like 4 feet tall so this was... not a good strategy?

If I just blast the bejeezus out of the saturation and contrast on that last FFT, the first image shows the result. Note the concentric rings of red and cyan around the origin—that's probably the fire extinguishers! The orangey cast farther out is probably due to the bricks and the weird red haze over the upper left of the input image.

For comparison, the second image is when I took the FFT of the full-resolution image, *then* downscaled that. Notice how it appears to be zoomed out? That's because there's a broader range of frequencies to represent in a larger image. (It was also about 7x larger in file size, ~15 MB, which is why I downscaled it before uploading.) Now there's a greenish cast to the high frequency areas, and I don't know why!

Here's a weird photo from NYC of a giant crowd of fire extinguishers behind a hotel.

There are a *ton* of geometric patterns in this image, so it's great for FFT. (Not just the extinguishers—we got bricks, fence, pipes, etc. It's also different in X and Y directions.)

Did I mention I've got color working now? (Version 098feaac.) I run the FFT on each RGB channel separately and then recompose. It's not very colorful is it, though? Well, no reason it should be! Most of the FFT output is high-frequency stuff like sensor noise. Those big color blocks in the input are probably represented in a relatively small number of low-frequency pixels in the output.

(Note: This FFT is on a scaled-down version of the image.)