Course Description - Digital Image Processing | ECE 533, Study notes of Digital Signal Processing

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ECE/OPTI 533: Digital Image Processing

Introduction

Ali Bilgin

Department of Biomedical Engineering

Department of Electrical & Computer Engineering

Description of Course

We will then discuss properties of the human visual system, and study image

enhancement, restoration, and compression methods. Special emphasis will

be placed on practical implementation of these methods.

This course is designed to provide students with theoretical knowledge and

practical experience to analyze and design digital image processing systems.

The first part of this course covers two-dimensional signals and systems. We

will study extension of key digital signal processing concepts (such as

sampling, z-transforms, discrete Fourier transforms, and filtering) to two-

dimensions.

Location and Time

TuTh 11:00AM-12:15PM, Civil Engineering, Rm 201

Instructor Information

Ali Bilgin, Ph.D.

Office: ECE 456H

Phone: 520-626-

E-mail: [email protected]

Office hours: TuTh 1:00PM-2:00PM or by appointment

Course Web Page

http://d2l.arizona.edu

Prerequisites

ECE 529 (Digital Signal Processing);

ECE 503 (Probability and Random Processes for Engineering Applications).

ECE 529 covers the fundamentals of digital signal processing, which are

employed extensively in ECE/OPTI 533. You will be hopelessly lost in this

course if you have not acquired a sound understanding of these principles.

Grading Policy

Midterm Exam 20%

Final Exam 20%

Homework 30%

Project 30%

See the syllabus for details.

Programming Assignments

Writing and debugging computer programs will take significant time.

Practical results are emphasized in this course.

Given an image and a processing goal (i.e., color correction,

sharpening, warping, etc.) you will be expected to select and implement

an appropriate procedure to achieve that goal.

Good practical results often depend on an understanding of the theory

behind the procedures as well as the ability to write software to

implement the theory.

Thus, there are significant mathematical and computational

components to this course.

The programming assignments will require knowledge of Matlab as well

as C.

Image Formation

Object

Lens Image Plane

Image Formation

Projection through the lens (^) Image of object

Quantization

Continuous input

Discrete output

Quantization

Real image Continuous space Continuous intensity Quantized Continuous space Discrete intensity

Quantization

Sampling and Quantization

Real image Continuous space Continuous intensity

Sampled & Quantized Discrete space Discrete intensity

Sampling Quantization

Digital Image

Each square is called a picture element , pel , or pixel.

Digital Image

A grid of squares with each square containing a single color

[ 72 63 34]

[ 151 187 115]

[ 70 ]

[ 160]

Monochrome images have a single value for each square