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Image Math
What if you could do math on an image?
I was inspired by 3Blue1Brown's video where he took the logarithm of a Droste art piece to convert it into an Escher-style artwork.
Every point on an image is corresponded with a complex number in the complex plane. Applying a function on every point on an initial image gives a new complex number, cooresponding to its position in the new image.
I was able to recreate Escher's effect and more!
Jump forward to:
Some cool effects I got:
| Inv-Function | 3B1B's image | My Droste Image | Rings |
|---|---|---|---|
| Original Click any image for higher quality |
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| Escher Effect | |||
| Rotate $f(z)=iz$ |
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| Zoom to corner $f(z)=\frac{z+2+2i}{3}$ |
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| Kaleidoscope $f(z)=z^6$ |
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| Kaleidoscope (Try any polynomial :D) $f(z) = z^3 + 3z^2$ |
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| Logarithm $f(z) = e^z$ |
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| Inverse $f(z) = 1/z$ |
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| Weierstrass Elliptical function |
Applying your own functions:
- Create the inverse of your function. e.g. if $f(x) = e^x$, the inverse function is $g(x) = log(x)$
- Create the function in using numpy.
def f(z): return np.log(x) # i.e. log(x)
- Add the
@image_functiondecorator.@image_function def my_image_function(z): return np.log(x)
- Done! Use your function like this:
my_image_function("input.png", "output.png", zoom = 1.0, output_scale = 1.0)
zoom: Change this to zoom-in/out the output.output_scale: Output resolution w.r.t input image. Smaller number makes rendering much faster, but loses quality.
Creating an Escher-style Image:
- Start with a Droste image.
- Find the singularity of the image, (where all the recursive images meet), generally the center of the image. Find the position w.r.t the center of the image [(0,0) = center; (1,1) = top right corner]
- Create the escher function:
scale = 16 #Size of smaller image wrt the larger one. center = (0,0) #Center point, (0,0) by default subject = (-0.8,-0.8) #Subject of drawing, cannot be center esch = escher_function(scale, center,subject)```
- Create the final image:
input_filename = "droste.png" # Input filename output_filename = "escher.png" # Output zoom = 1.8 # Used to zoom-in/out the output image. res = 1.0 # Set to a low number (e.g. 0.2) for faster rendering and testing, but lower output quality. 1.0 is the maximum quality. esch(input_filename, output_filename, zoom, res)
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