Topic: Image halftoning using Gray-level binary fonts transforms an image with L number of gray levels into an image with N perceived gray levels. N matrices are created and for each pixel, the appropriate matrix is copied at the appropriate position of the output image.


Exercise: Create a Python script file and perform the following tasks:

  • Import OpenCV and NumPy libraries.
  • Create a function that takes as input a grayscale image and a number of halftones and performs image halftoning using gray-level binary fonts. Then, return the halftoned image. You can add any extra parameters you desire.
  • Read an image as grayscale.
  • Apply image halftoning using gray-level binary fonts to the grayscale image.
  • Finally, display the original image alongside the halftoned one.

Instructions and Material for solution: Click Image to download the exercise material.

Help (if needed): Click Pdf  to download the exercise help.

Lecture for better understanding: https://icarus.csd.auth.gr/digital-image-processing/

This exercise was developed by C. Georgiadis.

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For the solutions to the exercises, please contact koroniioanna@csd.auth.gr