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).

**Comments and Bugs:** I will appreciate comments as well as reports
of bugs and mistakes here. Please use the subject line "*Regarding
DIP lecture notes*". Thank you.

**POLY students: **These lecture notes are not equivalent to taking
the class. Please contact the class instructor for details.

**POLY students taking the DIP class:** These are not the lecture
notes for you. Please contact your instructor.

**Tutorial:**

Lecture
outline: Outline of the lecture is on the left (see image below).

Audio:
Clicking on the blue arrow on the top left will launch the realplayer
to play the audio clip for the slide.

Yellow
note boxes: Click them for some extra information.

Purple
text: Click to link to definitions, equations, or references in the
document related to the text (once linked the right mouse button should
open a window which will allow you to go back where you came from).

**Source:** I have also included the
latex source together with the images used to generate the pdf slides
(you will need the program dvipdfm
to convert dvi files to pdf). The latex sources contain pdf specials to
enable launching realaudio from the pdf file (\ralink macro), to enable
slide titles to appear in the pdf outline at various depths (\mytitle,
\mysubtitle, \mysubsubtitle), to enable pdf note boxes such as the one
shown in the tutorial (\mynote macro), and finally to enable linking
within the pdf document (\dest and \link macros). For pdf specials
please consult the dvipdfm manual as well as Adobe's pdf specification document.

**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

**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