Digital Image Processing

Digital Image Processing

Lecture Notes in Digital Image Processing

Lecture Notes: Lectures consist of lecture slides in pdf format and accompanying audio in realaudio format. Each slide has a button to activate the audio clip that presents that slide. You must download the audio clips and unzip to the same directory where you saved the pdf file to play the accompanying audio. Some examples and homeworks utilize matlab (you may also try octave).

Lecture 1: [pdf lecture notes] [accompanying audio] [latex source]

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

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Lecture 2: [pdf lecture notes] [accompanying audio] [latex source]
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

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Lecture 3: [pdf lecture notes] [accompanying audio] [latex source]
Outline:

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

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Lecture 4: [pdf lecture notes] [accompanying audio] [latex source]
Outline:
Summary of Lecture 3
Histogram Matching - Specification
Quantization
Summary
Homework IV

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Lecture 5: [pdf lecture notes] [accompanying audio] [latex source]
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
Homework V

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Lecture 6: [pdf lecture notes] [accompanying audio] [latex source]
Outline:
Summary of Lecture 5
Convolution and Linear Filtering
The Fourier Transform of 2-D Sequences
Fourier Transform Types
Sampling and Aliasing
Summary
Homework VI

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Lecture 7: [pdf lecture notes] [accompanying audio] [latex source]
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

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Lecture 8: [pdf lecture notes] [accompanying audio] [latex source]
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
Homework VIII

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Lecture 9: [pdf lecture notes] [accompanying audio] [latex source]
Outline:

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

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Lecture 10: [pdf lecture notes] [accompanying audio] [latex source]
Outline:

Summary of Lecture 9
``Perceptual'' Image Processing
Quantization and False Contours
Image Halftoning
Image Warping and Special Effects
Median Filtering
Oil Painting
Homework X