Digital Image Processing Lecture

Abstract

This lecture overviews Digital Image Processing that has many applications in improving image visual quality. It covers the following topics in detail: Histogram Equalization, BW Image Pseudocoloring, BW Image Halftoning, Image Mosaicking, Image Watermarking, Template Matching, Background Subtraction, DNN Image Denoising.

Image contrast enhancement by histogram equalization.

Image dithering.

Digital-Image-Processing-v3.2-Summary-1

Understanding Questionnaire

https://docs.google.com/forms/digital-image-processing

Tutorial Exercises

1. Continuous Variable Histogram Transformation Tutorial Exercise
2. Histogram Equalization Tutorial Exercise
3. Histogram Transformation Tutorial Exercise

Programming Exercises

1. Histogram Calculation and Image Filtering
2. Histogram Equalization
3. Video frame histogram computation
4. Image Halftoning
   1. Graylevel Binary Fonts
   2. Pseudorandom Thresholding