Digital Image Processing

Course guarantor:

Jiří Franc, Barbara Zitová

Lecturer:

Barbara Zitová

Tutor:

Adam Novozámský, Barbara Zitová

Supervisor:

Department of Mathematics

Synopsis:

image sampling and quantization, Shannon theorem, aliasing

basic image operations, histogram, contrast stretching, noise removal, image sharpening

linear filtering in the spatial and frequency domains, convolution, Fourier transform

edge detection, corner detection feature detection

image degradations and their modelling, inverse and Wiener filtering, restoration of motion-blurred and out-of-focus blurred images

image segmentation

mathematical morphology

image registration and matching

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

Key references:

Gonzales R. C., Woods R. E., Digital Image Processing (4th ed.), Pearson, 2018

Recommended references:

Pratt W. K.: Introduction to Digital Image Processing, CRC Press, 2013

J. Flusser, T. Suk, B. Zitova: 2D and 3D Image Analysis by Moments 1st Edition, Wiley & Sons Ltd., (2016)

J. Flusser, T. Suk, B. Zitová, Moments and Moment Invariants in Pattern Recognition, Wiley & Sons Ltd., (2009)

Media and tools: a complete set of lecture slides and excersises are available at http://zoi.utia.cas.cz/ROZ1

Note:

Time-table for winter semester 2025/2026:

Time-table is not available yet

Time-table for summer semester 2025/2026:

Time-table is not available yet

The course is a part of the following study plans: