Course: Theoretical basis of the Image Processing

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Course title Theoretical basis of the Image Processing
Course code KPF/C742
Organizational form of instruction Lecture
Level of course Master
Year of study 1
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Syrový Tomáš, doc. Ing. Ph.D.
Course content
Raster image- basic properties, 2D sampling, linear transformation of image, Fundemental equation of linear transformation, 2D Furier transformation, Hadamard transformation, Haar and zavelet transformation, Histogram, equalization histogram, Treshhold, Edge detection, Image sharpening, noise filtering, measuring of brigtness and colour properties of image.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Skills training
Learning outcomes
Aim subject is understanding tenets of image processing and familiarization with technologies used in this area (image digitizing, image transformation, image preprocessing, Image reconstruction, segmentation objects in images) and with principles plotting information included in images
The participants will get overview about teoretical basics of image processing, which can use for creaticion of personal algorithms for image processing and their usage at under consideration of quality of printing.
Prerequisites
Good knowledge of mathematics, especially fundamentals of matrix computation, basic theoretical knowledge of image processing.

Assessment methods and criteria
Oral examination, Home assignment evaluation, Student performance assessment

This module will be assessed through a speaking test ? discussion related to three selected question by written report at chosen topic. The speaking test examines the level of understanding. This part of exam deal 70%. The second part of exam is presented by computational exercise (30%).
Recommended literature
  • Forsyth D.A., Ponce J. Computer Vision - a Modern Approach. Prentice Hall, 2002. ISBN 0-13-085198-1.
  • Fribert, Miroslav. Základy zpracování obrazu. Pardubice: Univerzita Pardubice, 2006. ISBN 80-7194-901-9.
  • Hlaváč, Václav. Počítačové vidění. Praha: Grada, 1992. ISBN 80-85424-67-3.
  • Klíma M. a kol. Zpracování obrazové informace. FEL ČVUT Praha, 1996.
  • Martišek, Dalibor. Matematické principy grafických systémů. Brno: Littera, 2002. ISBN 80-85763-19-2.
  • Petrou, Maria. Image processing : the fundamentals. Chichester: John Wiley & Sons, 1999. ISBN 0-471-99883-4.
  • Pratt, William K. Digital image processing : PIKS Inside. New York: John Wiley & Sons, 2001. ISBN 0-471-37407-5.
  • Prof. RNDr. Marie Kaplanová, CSc. a kolektiv. Moderní polygrafie. 2010. ISBN 978-80-254-4230-2.
  • Sonka, Milan. Image processing, analysis and machine vision. London: Chapman & Hall, 1993. ISBN 0-412-45570-6.
  • Žára, Jiří. Moderní počítačová grafika. Praha: Computer Press, 1998. ISBN 80-7226-049-9.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Chemical Technology Study plan (Version): Graphic Arts and Printing Technology (2013) Category: Printing, working with paper, film and photography 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Chemical Technology Study plan (Version): Graphic Arts and Printing Technology (2015) Category: Printing, working with paper, film and photography 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Chemical Technology Study plan (Version): Graphic Arts and Printing Technology (2016) Category: Printing, working with paper, film and photography 1 Recommended year of study:1, Recommended semester: Summer