Course Catalog 2008-2009
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2008-2009

SGN-3016 Digital Image Processing I, 5 cr

Course´s person responsible

Serkan Kiranyaz, Moncef Gabbouj

Implementations

  Lecture times and places Target group recommended to
Implementation 1


Per 1, 2 :
Monday 14 - 16, TB110

 
 


Requirements

Exercises and final exam.

Principles and baselines related to teaching and learning

-

Objectives

Study the fundamentals of digital image processing.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Fundamentals of digital image processing are discussed.  Sampling theorem and theory of quantization.  Nonlinear filtering. 
2. Image formation, sampling, quantization and the human visual system.  Fourier Transforms.  Image analysis and segmentation. 
3. Image enhancement in spatial and frequency domains.  Imputlse response and frequency response of Linear Filters.   
4. Image restoration in spatial and frequency domains.  Theory of transforms.   
5. Color spaces and color image processing.  Colorimetry.   


Evaluation criteria for the course

Grading is on the scale of 1-5. In order to pass the course, students must collect at least half the points from the final exam and half the points from the exercises. A project work may also be given.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Book   "Digital Image Processing"   R. Gonzalez and R. Woods       http://www.imageprocessingplace.com/, 3rd edition, Prentice-Hall, New Jersey, 2008      English  


Prerequisites

Course O/R
OHJ-1100 Ohjelmointi I Recommended  
OHJ-1106 Programming I Recommended  
SGN-1107 Introductory Signal Processing Obligatory  
SGN-1200 Signaalinkäsittelyn menetelmät Obligatory  

Prerequisite relations (Requires logging in to POP)

Correspondence of content

Course Corresponds course  Description 
SGN-3016 Digital Image Processing I, 5 cr 8002103 Digital Image Processing, 3 cu  

Additional information

This course is equivalent to SGN-3010

More precise information per implementation

  Description Methods of instruction Implementation
Implementation 1   Lectures
Excercises
ITC Utilization
Practical works
Study journal, portfolio and other literary work
   
Contact teaching: 20 %
Distance learning: 10 %
Self-directed learning: 10 %  


Last modified19.06.2008
ModifierKirsi Järnström