Course: Advanced Digital Photography

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Course title Advanced Digital Photography
Course code OPT/PDG
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Řeháček Jaroslav, prof. Mgr. Ph.D.
  • Kapitán Josef, RNDr. Ph.D.
Course content
1. Detection of image in traditional and digital photography. Digitalization of image (sampling and quantization). Relationship between theoretical resolution and sampling (Fourier analysis of 2D signal). Detection of colours, storage of digital image. 2. Histogram of image. Intensity transformations, equalization of histograms. 3. Spatial filtering. Linear spatial filters. Smoothing and sharpening, unsharp mask. 4. Filtering in frequency domain. Fourier transform and convolution. 5. Image restoration and reconstruction, reduction of noise. Selective filtering in frequency domain (elimination of periodic artefacts). 6. Basics of colour perception, colorimetry. 7. Colour spaces dependent and independent on devices. Colour management. Workflow of colour print production on calibrated devices. Practical demonstration of calibration of monitor and printer.

Learning activities and teaching methods
Monologic Lecture(Interpretation, Training), Demonstration
Learning outcomes
Introduction to digital photography and techniques of digital image processing.
The aim of this course is to acquire basic knowledge in digital image processing. Students know fundamental algorithms and techniques regarding digital recording of image and image processing. Students practically apply algorithms in Matlab/Octave program suite. On successful completion of this module, students should be able to know and understand the syllabus topics and be able to use the acquired knowledge in solving problems.
Prerequisites
Without prior requirements.

Assessment methods and criteria
Oral exam, Written exam, Student performance

Active participation in class. Completion of final tests with 50% success.
Recommended literature
  • Fraser B., Murphy, C., Bunting F. (2003). Správa barev. Brno, Computer Press.
  • Gonzales R. C., Woods R. E. (2008). Digital Image Processing. Pearson.
  • Gonzales R. C., Woods R. E., Eddins S. L. (2003). Digital Image Processing Uning Matlab. Prentice Hall.
  • Wyszecki, G., Stiles, W. S. (2000). Color Science: Concepts and Methods, Quantitative Data and Formulae. Wiley-Interscience; 2nd edition.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Digital and Instrument Optics (2019) Category: Physics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Optics and Optoelectronics (2021) Category: Physics courses 1 Recommended year of study:1, Recommended semester: Summer