Digital Image Processing I

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.

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.

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

(in Greek)

Ν. Παπαμάρκος, Ψηφιακή Επεξεργασία και Ανάλυση Εικόνας

Ι. Πήτας, Ψηφιακή Επεξεργασία Εικόνας

Lectures and tutorial sessions

Enhanced by multimedia content.
The learning process is supported by the asyncrhonous e-learning platform e-class.

Written examination paper