David Clausi
Dept. of Systems Design Engineering
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1

Tel: (519) 888-4567 x32604
FAX: (519) 746-4791

SD575 Image Processing

* Lecture Slides *

Lectures 1 & 2 (Sept 15 & 17): Basics

Section 1.1 (Sept 15): Introduction

Section 1.2 (Sept 17): Human Visual System

Lectures 3 & 4 (Sept 22 & 24): Point Operations

Section 2.1 – Point Operations - Concepts

Section 2.2 – Point Operation - Histograms

Lectures 5 to 9 ()

Section 3.1 – Spatial Operations: Introduction

Section 3.2 – Spatial Operations: Smoothing

Section 3.3 – Spatial Operations: Edge Detection and Enhancement

Lectures 9 to 14 (): Spatial-Frequency

Section 4.1 – Spatial-Frequency: Fourier Transform

Section 4.2– Discrete Fourier Transform

Section 4.3 – Spatial-Frequency Implementations

Lecture 15 – Midterm

Lectures 16-19 ()

Section 5.1 – Restoration: Wiener Filtering

Section 5.2 – Restoration: Lee Filter

Section 5.3 – Application: In-painting

Lecture 20

Section 6.1 Color Image Processing

Lectures 21-22

Section 7.1 – Segmentation: Histogram-based

Section 7.2 – Segmentation: Edge-based

Lectures 22-23

Section 8.1 - Compression Concepts

Section 8.2 – Coding Methods

Section 8.3 – Block-Based Coding

Section 8.4 – JPEG

Section 8.5 – Graphics Compression

* Tutorials *

Sept 22: zooming

* Problem Sets #1 to #7 for midterm *

Note: ‘Advanced’ questions not required for exams.

Problem Set #1 - Point Operations for Enhancement Solutions

Problem Set #2 – Local Operations Solutions Help with Q2.2 Help with Q2.3

Problem Set #3 - Discrete Gradient and Laplacian Solutions

Problem Set #4 – Linear Systems Solutions Separability Explained

Problem Set #5 – Discrete Linear Systems and the DFT Solutions

Problem Set #6 – Global Operators Solutions

Problem Set #7 - High Frequency Emphasis Solutions 7.3a step response revised

* Labs *

Lab 0 - Introduction to Matlab - Sept 10 (No submission, no grading, not counted for course requirements)

Lab 1 - Basic Image Processing. Two lab sessions (Sept 17 and Sept 24).

Images for Lab 1: cameraman lena tire

Lab 2 – Image Enhancement: Oct 1 (Noise Generation and Smoothing) and Oct 8 (Sharpening)

Lab 3 – Frequency Domain Filtering and Design. Oct 15 – Problem 2. Oct 22 – Problems 3 & 4. frequnoisy.tif

Lab 4 – Restoration (Wiener Filter and Lee Filter) degraded.tif

Lab 5 – Compression and Segmentation peppers.png

* Prior Midterms *

2012 Midterm with Solutions

2013 Midterm with Solutions

*** Midterm ***

Room assignments by last name (revised and final):

- E5-6004 [A-L]

- E5-6127 [M-R]

- E5-6002 [S-Z]

- Date/Time: Thursday October 30 11:00am-12:30pm (1.5 hours)

- Material: everything to the end of Section 4 lecture

- Aid: crib sheet is allowed. It is a good learning exercise to create the crib sheet as you review the course. Details:

1) 8.5x11 piece of paper, both sides (expect you should only need 1 side)

2) mathematical formulas or properties only (e.g., Gaussian, Sobel 2d masks, forward and inverse FFT, DFT; Fourier transform properties, Fourier pairs, etc.)

3) no solutions to any problems, no calculations or derivations (e.g., no calculating the DFT of a signal), no figures (you should be able to sketch figures on the exam), no algorithms

4) pls be careful with 2) and 3) above - these are in place to have a level playing field for all students

5) crib sheet must be handed in with the exam; will be returned so you have it for the final exam

- Calculators are allowed

- What to expect: Solve problems and explain the solutions. See posted midterms from 2012 and 2013 as examples.