1. Topic 1 Three related sub-fields Image processing Computer vision
Computer graphics

2. Topic 2 Digital Image Fundamentals Human visual system
Brightness adaptation
Brightness discrimination
Weber ratio
Mach band pattern
Simultaneous contrast
A simple image model
Sampling and quantization
Color models and Color imaging

3. Topic 3 – Part 1/3 Intensity Transform Intensity Transformations
Contrast stretching
Dynamic range compression
Histogram processing
Histogram equalization

4. Topic 3 – Part 2/3 Spatial Filtering Smoothing Filters
Low-pass filters
Media filters
Sharpening Filters
Basic high pass filters
Derivative Filtering
Recent advances in image filtering
Bilateral filters

5. Topic 3 – Part 3/3 Image Transforms and Frequency Domain Processing
Fourier Transform/Discrete Fourier transform
Convolution theorem
Sampling theorem
Under-sampling and aliasing
Filtering in the frequency domain
Typical low/high-pass filters and their transfer function
Spatial vs frequency domain filtering

6. Topic 4 Image Compression Fundamentals Coding redundancy
Interpixel redundancy
Psychovisual redundancy
Fidelity criteria
Error-Free Compression
Variable length coding
Huffman Coding
Lossy Compression
Quantization
Transform coding
Image compression standards

7. Topic 5 Edge Detection and Image Segmentation
Detection of discontinuities
Point detection
Line detection
Edge detection
Simple global thresholding
Region Splitting and Merging
Region growing