Image Representation:

• Pixels, color spaces (RGB, grayscale, HSV, etc.),
• Image file formats (JPEG, PNG, TIFF)

Basic Image Manipulations:

• Filtering (smoothing, blurring, sharpening)
• Edge detection (Canny, Sobel)
• Morphological operations (erosion, dilation)
• Histograms and equalization

Introduction to Machine Learning:

• Supervised vs. unsupervised learning
• Classification and regression
• Key concepts: features, labels, training/testing data