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Image Processing Basics

This repository is intended for studying image processing, with small exercises and practical experiments for learning and practice.

Contents

  • opening.py — loading and opening images
  • synthesizing.py — synthesizing images and making flags
  • grayscale.py — manual implementation of grayscale conversion
  • filters.py — applying some filters on images
  • box_blur_filter.py — applying box blur filter
  • sobel_filter.py — manual implementation of vertical and horizontal sobel filter

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A collection of small exercises exploring fundamental concepts in digital image processing

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