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Digital Image Processing

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

Course Unit Code460-4079/01
Number of ECTS Credits Allocated4 ECTS credits
Type of Course Unit *Choice-compulsory
Level of Course Unit *Second Cycle
Year of Study *First Year
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites There are no prerequisites or co-requisites for this course unit
Name of Lecturer(s)Personal IDName
SOJ10doc. Dr. Ing. Eduard Sojka
Summary
The following topics are covered: Mathematical preliminaries for digital image processing, Fourier, cosine, and wavelet transforms and their applications, JPEG, MPEG, and audio compression, point and geometric operations, sampling and reconstructing images, filtering, stochastic approach to digital image processing, morphological image processing. The course 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.
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, wavelet transform.
6. Applications of the Fourier transform in image processing. Modifying the frequency spectrum of images.
7. JPEG compression, MPEG compression, H.264/H.265 compression method, audio compression.
8. Sampling and reconstructing images. Aliasing. Quantization.
9. Transformations of brightness. Gamma correction. Histogram equalization.
10. Geometric transformations of images. Morphing and warping.
11. Recursive and non-recursive image filtering. Inverse filter.
12. Random fields and their applications in image processing. Wiener filter.
13. Morphological image processing.
14. Technical equipment for capturing and processing images, cameras and camera systems.

Computer labs:
1. Introduction to the OpenCV library, and basic operations with images.
2. Gamma correction and contrast enhancement.
3. Convolution (with Gaussian, Laplace, and other masks).
4. Anisotropic filtering of images.
5. Forward and backward discrete Fourier transform.
6. Wavelet transform.
7. Filtering in the frequency domain.
8. Geometric transformations of images.
9. Removing the lens distortion.
10. Histogram equalization.
11. Projective image transformation.
12. Morphological operations on binary images.
13. Spare space.
14. Credit.
Recommended or Required Reading
Required Reading:
Mandatory:
1. Gonzalez, R., C., Woods, R., E.: Digital Image Processing, 4th Edition, Pearson, ISBN-13: 9780134734804, 9780133356724, 2018.
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, 4th Edition, Pearson, ISBN-13: 9780134734804, 9780133356724, 2018.

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
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Credit and ExaminationCredit and Examination100 (100)51
        CreditCredit25 12
        ExaminationExamination75 30