Purdue University
School of Electrical and Computer Engineering
Video and Image Processing Program
EE637 Digital Image Processing I
Course Notes
Introduction
Continuous Parameter Signals and Systems
Continuous Time Fourier Transform
Continuous Space Fourier Transform
Rep and Comb relationships
Rep and Comb Examples
Application of Continuous Space Systems
Imaging Systems
Tomographic Reconstruction
Radon Transform Matlab Demo and results
Magnetic Resonance Imaging
C Programming
C programming style
ANSI C Compilation
Discrete Parameter Signals and Systems
Discrete Transforms
Sampling and Scanning
2-D Filters
2-D Random Processes
Power Spectrum Estimation
Filtered Random Processes
Supplimentary material
Proof of Wiener-Khintchine Theorem
Image Topology and Segmentation
2-D Neighborhoods and Edge Detection
Second Derivative Edge Detectors
Connected Components
Segmentation and Region
Merging
Image Perception, Representation, and Color
A really cool example of the cultural invariance of
color
Visual Perception, Contrast,
Gamma, and MTF
The Tristimulus Model of Color
Additive and Subtractive Color Spaces
Color Standards, Spaces,
and Transforms
Opponent Models of Color
Some Plots and Diagrams
Supplimentary handouts:
Supplimentary handout on gamma
correction
Handout on monitor
callibration
Color spaces for images
Resolution Conversion
Interpolation and Decimation
Enhancement and Filtering
Optimum Linear Filtering
Nonlinear Filtering
Quantization and Halftoning
Digital Halftoning
Analysis of Error Diffusion
Image Coding
Huffman Codes
Source Coding
Guest Lecture by Prof. Luis Torres on Analog TV
Guest Lecture by Prof. Luis Torres on Digital Image Coding