Skip to main content

No project description provided

Project description

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:

  1. Applying your own function
  2. Creating your own Escher-style images

Some cool effects I got:

Inv-Function 3B1B's image My Droste Image Rings
Original
Click any image
for higher quality
Escher Effect
Rotate
$f(z)=iz$
Zoom to corner
$f(z)=\frac{z+2+2i}{3}$
Kaleidoscope
$f(z)=z^6$
Kaleidoscope
(Try any polynomial :D)
$f(z) = z^3 + 3z^2$
Logarithm
$f(z) = e^z$
Inverse
$f(z) = 1/z$
Weierstrass Elliptical function

Applying your own functions:

  1. Create the inverse of your function. e.g. if $f(x) = e^x$, the inverse function is $g(x) = log(x)$
  2. Create the function in using numpy.
    def f(z):
        return np.log(x) # i.e. log(x)
    
  3. Add the @image_function decorator.
    @image_function
    def my_image_function(z):
        return np.log(x)
    
  4. 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:

  1. Start with a Droste image.
  2. 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]
  3. 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)```
    
  4. 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)
    

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

image_math-1.0.3.tar.gz (5.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

image_math-1.0.3-py3-none-any.whl (5.2 kB view details)

Uploaded Python 3

File details

Details for the file image_math-1.0.3.tar.gz.

File metadata

  • Download URL: image_math-1.0.3.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for image_math-1.0.3.tar.gz
Algorithm Hash digest
SHA256 ee2d55eedab8af65b0778517ef95f7d4be0eb10e5f4f19b096cb977f6e4c32fd
MD5 7553786ede2f6038165442adaa7b44ed
BLAKE2b-256 8cd5affe2d8c3b4862326a0bed237b9957cc6a1ae504b1b3e3f33f13c8a36280

See more details on using hashes here.

File details

Details for the file image_math-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: image_math-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 5.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for image_math-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b39d15931163e64a7f74316bf570988e5863b04f7c91ba3c79f4f872a3a071f6
MD5 761e3b8673bc707e57248952a0a7bbd5
BLAKE2b-256 0ce70f3765dcf54b7cbe050f6395fd50f705c4a5be02df7cfd1a2e978ae3545d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page