460-4079/01 – Digital Image Processing (DZO)
| Gurantor department | Department of Computer Science | Credits | 4 |
| Subject guarantor | doc. Dr. Ing. Eduard Sojka | Subject version guarantor | doc. Dr. Ing. Eduard Sojka |
| Study level | undergraduate or graduate | Requirement | Optional |
| Year | 1 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2015/2016 | Year of cancellation | |
| Intended for the faculties | FEI | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
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.
Teaching methods
Lectures
Tutorials
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.
Compulsory literature:
Mandatory:
1. Gonzalez, R., C., Woods, R., E.: Digital Image Processing, Prentice Hall, ISBN-10: 013168728X, ISBN-13: 978-0131687288, 2007
Recommended literature:
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
Way of continuous check of knowledge in the course of semester
Conditions for granting the credit: The tasks that are included into the program of exercises must be worked out and submitted to the teacher for evaluation.
Oral exam.
E-learning
Další požadavky na studenta
No further requirements are imposed on student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
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.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks