LECTURE NOTES ON BASICS OF DIGITAL IMAGE PROCESSING

Lecture 1: [DOWNLOAD AS PDF]
Outline:

Image Formation
Inside the Camera – Projection
Inside the Camera – Sensitivity
Sensitivity and Color
Summary
Digital Image Formation
Sampling
Quantization
Summary
(R,G,B) Parameterization of Full Color Images
Grayscale Images
Images as Matrices
Homework I 


Lecture 2: [DOWNLOAD AS PDF]
Outline:

Summary of Lecture 1
Simple Processing – Transpose
Simple Processing – Flip Vertical
Simple Processing – Cropping
Simple Image Statistics –  Sample Mean and Sample Variance
Simple Image Statistics – Histogram
Point Processing
Summary
Homework Rules
Homework II 


Lecture 3: [DOWNLOAD AS PDF]
Outline:

Summary of Lecture 2
Brief Note on Image Segmentation
Histogram Based Image Segmentation
Histogram Equalization
Summary
 


Lecture 4: [DOWNLOAD AS PDF]
Outline:

Summary of Lecture 3
Histogram Matching – Specification
Quantization
Summary
 


Lecture 5: [DOWNLOAD AS PDF]
Outline:

Summary of Lecture 4
Designing the Reproduction Levels for Given Thresholds
MSQE Optimal Lloyd-Max Quantizer
Systems
Linear Systems
Linear Shift Invariant (LSI) Systems
Summary


 

Lecture 6: [DOWNLOAD AS PDF] 

Outline:
Summary of Lecture 5
Convolution and Linear Filtering
The Fourier Transform of 2-D Sequences
Fourier Transform Types
Sampling and Aliasing
Summary
 


Lecture 7: [DOWNLOAD AS PDF]
Outline:

Summary of Lecture 6
The Need for a “Computable” Fourier Transform
The 2-D DFT for Finite Extent Sequences
DFTs of Natural Images
Importance of Low Frequencies
Convolution by DFTs
Summary
Homework VII 


Lecture 8: [DOWNLOAD AS PDF]
Outline:

Summary of Lecture 7
2-D Low-Pass Filtering of Images
2-D High-Pass Filtering of Images
2-D Band-Pass Filtering of Images
Sampling and Antialiasing Filters
Noise Removal
Summary
 


Lecture 9: [DOWNLOAD AS PDF]
Outline:

Summary of Lecture 8
Fourier Transforms and Gibbs Phenomenon
Images and Edges
Edge Detection – Motivation
Human Visual System and Mach Bands
Summary


 

Lecture 10: [DOWNLOAD AS PDF]
Outline:

Summary of Lecture 9
“Perceptual” Image Processing
Quantization and False Contours
Image Halftoning
Image Warping and Special Effects
Median Filtering
Oil Painting

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