Digital Image Processing I


Teaching Staff: Vlachos Theodoros
Course Code: VIS832
Course Category: Specific Background
Course Type: Elective
Course Level: Undergraduate
Course Language: Greek
Delivery method: Lectures
Semester: 8th
ECTS: 7
Teaching Units: 4
Teaching Hours: 4
E Class Page: https://e-class.ionio.gr/courses/DAVA164

Teaching Structure:
ActivitySemester Workload
Lectures39
Tutoring Lectures13
Literature Study and Analysis80
Practice and Preparation43
Course Total (ECTS: 7)175

Recquired / Recommended : TEC414
Prerequisite to / Recommended to: VIS932
en  pdf.png  Digital Image Processing I
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Short Description:

An introductory course on the principles of digital image acquisition and data-domain processing including sampling, quantisation, tonal and geometric transformations, filtering, edge detection and histogram-based methods.


Objectives - Learning Outcomes:

To provide a basic understanding of the fundamental principles underlying the formation and properties of digital images. To familiarise students with basic processing algorithms and to promote their problem-solving skills in the field.


Syllabus:

1st Week Introductory concepts of image acquisition and digitisation
2nd Week Sampling, quantumism. Resolution, bits/level, aspect ratio
3rd Week Linear tonal transformations
4th Week Non-linear tonal transformations
5th Week Linear geometric transformations
6th Week Non-linear geometric transformations
7th Week Linear filter fundamentals
8th Week Linear filter applications and examples
9th Week Non-linear filters
10th Week Differential filters and applications
11th Week Edge detection
12th Week Histogram-processing fundamentals and histogram equalisation
13th Week Hstogram matching and histogram-based processing


Suggested Bibliography:

(in Greek)

Ν. Παπαμάρκος, Ψηφιακή Επεξεργασία και Ανάλυση Εικόνας

Ι. Πήτας, Ψηφιακή Επεξεργασία Εικόνας


Teaching Methods:

Lectures and tutorial sessions


Evaluation Methods:

Written examination paper

Updated: 01-04-2018

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