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Digital image processing Lecture Notes and ppts


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: [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


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


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


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


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


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


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


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


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


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