Digital image processing Lecture Notes and ppts

 

 

 

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

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