460-4079/02 – Digital Image Processing (DZO)

Gurantor departmentDepartment of Computer ScienceCredits4
Subject guarantordoc. Dr. Ing. Eduard SojkaSubject version guarantordoc. Dr. Ing. Eduard Sojka
Study levelundergraduate or graduateRequirementChoice-compulsory
Year1Semesterwinter
Study languageEnglish
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
GAU01 Ing. Jan Gaura, Ph.D.
SOJ10 doc. Dr. Ing. Eduard Sojka
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 10+0

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

Full-time form (validity from: 2016/2017 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 25  12
        Examination Examination 75  30
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P English Ostrava 1 Optional study plan
2019/2020 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 1 Choice-compulsory study plan
2019/2020 (N2647) Information and Communication Technology (2612T059) Mobile Technology P English Ostrava 1 Optional study plan
2019/2020 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K English Ostrava 1 Optional study plan
2019/2020 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 1 Choice-compulsory study plan
2019/2020 (N2647) Information and Communication Technology (2612T059) Mobile Technology K English Ostrava 1 Optional study plan
2019/2020 (N0541A170008) Computational and Applied Mathematics (S01) Applied Mathematics P English Ostrava 1 Compulsory study plan
2019/2020 (N0541A170008) Computational and Applied Mathematics (S02) Computational Methods and HPC P English Ostrava 1 Optional study plan
2018/2019 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P English Ostrava 1 Optional study plan
2018/2019 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 1 Choice-compulsory study plan
2018/2019 (N2647) Information and Communication Technology (2612T059) Mobile Technology P English Ostrava 1 Optional study plan
2018/2019 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K English Ostrava 1 Optional study plan
2018/2019 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 1 Choice-compulsory study plan
2018/2019 (N2647) Information and Communication Technology (2612T059) Mobile Technology K English Ostrava 1 Optional study plan
2017/2018 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P English Ostrava 1 Optional study plan
2017/2018 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K English Ostrava 1 Optional study plan
2017/2018 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 1 Choice-compulsory study plan
2017/2018 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 1 Choice-compulsory study plan
2017/2018 (N2647) Information and Communication Technology (2612T059) Mobile Technology P English Ostrava 1 Optional study plan
2017/2018 (N2647) Information and Communication Technology (2612T059) Mobile Technology K English Ostrava 1 Optional study plan
2016/2017 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P English Ostrava 1 Optional study plan
2016/2017 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K English Ostrava 1 Optional study plan
2016/2017 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 1 Choice-compulsory study plan
2016/2017 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 1 Choice-compulsory study plan
2016/2017 (N2647) Information and Communication Technology (2612T059) Mobile Technology P English Ostrava 1 Optional study plan
2016/2017 (N2647) Information and Communication Technology (2612T059) Mobile Technology K English Ostrava 1 Optional study plan
2015/2016 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P English Ostrava 1 Optional study plan
2015/2016 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K English Ostrava 1 Optional study plan
2015/2016 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P English Ostrava 1 Choice-compulsory study plan
2015/2016 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K English Ostrava 1 Choice-compulsory study plan
2015/2016 (N2647) Information and Communication Technology (2612T059) Mobile Technology P English Ostrava 1 Optional study plan
2015/2016 (N2647) Information and Communication Technology (2612T059) Mobile Technology K English Ostrava 1 Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
V - ECTS - mgr. 2019/2020 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2018/2019 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2017/2018 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2016/2017 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2015/2016 Full-time English Optional 401 - Study Office stu. block