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ECTS Course Overview



Digital Image Processing

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code460-4079/02
Number of ECTS Credits Allocated4 ECTS credits
Type of Course Unit *Optional
Level of Course Unit *Second Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech, English
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
SOJ10doc. Dr. Ing. Eduard Sojka
Summary
The following topics are covered: Mathematical preliminaries for digital image processing, Fourier and cosine transforms and their applications, JPEG and MPEG compression, point and geometric operations, sampling and reconstructing images, filtering, stochastic approach to digital image processing, morphological image processing. The cource includes the computer labs in which the computer programs are realised corresponding to the mentioned topics.
Learning Outcomes of the Course Unit
The course acquaints the students with the foundations of digital image processing. After passing the course, the student will understand the principles of the operations with the images and will be able to implement them.
Course Contents
Lectures:
1. The space of image signals. Linear combination and the dot product. The basis in the space of image signals and its importance.
2. The operator. Linear and shift invariant operators. Dirac delta function.
3. Convolution. Discrete convolution. Applications of convolution.
4. The Fourier transform, its importance and properties.
5. Discrete Fourier transform, cosine transform, fast Fourier transform.
6. Applications of the Fourier transform in digital image processing. Modifying the frequency spectrum of images.
7. JPEG compression of images, MPEG compression of image sequences.
8. Sampling and reconstructing images. Aliasing. Quantization.
9. Transformations of brightness. Gamma correction. Histogram equalization.
10. Geometric transformations of images. Morphing and warping.
11. Filtering. Recursive and non-recursive filtering. Inverse filter.
12. Random fields and their applications in digital image processing. Wiener filter.
13. Morphological image processing.
14. Technical equipment for capturing and processing images.

Computer labs:
1. Introduction to the OpenCV library and basic operations.
2. Gamma correction and a simple contrast enhancement.
3. Convolution (Gaussian, Laplace masks).
4. Anisotropic filtration of images.
5. Forward discrete Fourier transform.
6. Backward discrete Fourier transform.
7. Filter applications in frequency domain.
8. Geometric distortion removal.
9. Image equalization.
10. Histogram equalization using SMQT algorithm.
11. Projective image transformation.
12. Morphological operations on binary images. Erosion and dilatation operations.
13. Spare space.
14. Credit.
Recommended or Required Reading
Required Reading:
Mandatory:
1. Gonzalez, R., C., Woods, R., E.: Digital Image Processing, Prentice Hall, ISBN-10: 013168728X, ISBN-13: 978-0131687288, 2007
1. Sojka, E., Gaura, J., Krumnikl, M.: Matematické základy digitálního zpracování obrazu, VŠB-TU Ostrava, 2011.
2. Sojka, E.: Digitální zpracování a analýza obrazů, učební texty, VŠB-TU Ostrava, 2000 (ISBN 80-7078-746-5).
3. Gonzalez, R., C., Woods, R., E.: Digital Image Processing, Prentice Hall, ISBN-10: 013168728X, ISBN-13: 978-0131687288, 2007.

Recommended Reading:
1. Burger, W., Burge, M., J.: Principles of Digital Image Processing: Fundamental Techniques, Springer, ISBN-10: 1848001908, ISBN-13: 978-1848001909, 2011
2. Brahmbhatt, S.: Practical OpenCV (Technology in Action), Apress, ISBN-10: 1430260793, ISBN-13: 978-1430260790, 2013
3. Petrou, M., Petrou, C.: Image Processing: The Fundamentals, Wiley, ISBN-10: 047074586X, ISBN-13: 978-0470745861, 2010
1. Burger, W., Burge, M., J.: Principles of Digital Image Processing: Fundamental Techniques, Springer, ISBN-10: 1848001908, ISBN-13: 978-1848001909, 2011
2. Brahmbhatt, S.: Practical OpenCV (Technology in Action), Apress, ISBN-10: 1430260793, ISBN-13: 978-1430260790, 2013
3. Petrou, M., Petrou, C.: Image Processing: The Fundamentals, Wiley, ISBN-10: 047074586X, ISBN-13: 978-0470745861, 2010
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Tasks are not Defined