SubjectsSubjects(version: 954)
Course, academic year 2019/2020
Multimedia Signal Processing - N445063
Title: Zpracování multimediálních signálů
Guaranteed by: Department of Computing and Control Engineering (445)
Faculty: Faculty of Chemical Engineering
Actual: from 2013 to 2019
Semester: winter
Points: winter s.:3
E-Credits: winter s.:3
Examination process: winter s.:
Hours per week, examination: winter s.:2/1, MC [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Švihlík Jan doc. Ing. Ph.D.
Examination dates   Schedule   
Annotation -
At the beginning the subject describes a principle of imaging systems using transfer functions. Image sensor can be seen also as an imaging system and this subject includes description of various types of image sensors. A signal generated by sensor could be processed by several statistical methods. Interest of this subject lies in the area of wavelet transform utilization and multidimensional signal modeling. Hence, there will be mentioned several denoising methods based on thresholding of wavelet coefficients and image compression algorithms will be chosen. Above mentioned algorithms and principles will be practised on real image data in MATLAB.
Last update: TAJ445 (14.12.2013)
Aim of the course -

Students will be able to:

Describe electro-optical system, image sensors (CCD, CMOS)

Fundamentals of continuous and discrete wavelet transform, image reconstruction methods (Inverse filter, Wiener filter, CLS filtr)

De-noising methods, image and signal modeling, noise modeling, Bayesian estimators, image compression methods

Measure modulation transfer function, realize system noise analysis

Detection of image component, basic image recognition, image quality measurement

Last update: Švihlík Jan (31.07.2013)
Literature -

R: Gonzalez C., Woods R., Digital Image Processing. Third edition. New Jersey, 2007, 013168728X

R: Mallat S., A Wavelet Tour of Signal Processing, Academic Press, 1999, 9780123743701

R: Newland D., An Introduction to Random Vibrations, Spectral and Wavelet Analysis, Dover Publ., 2005, 0486442748

R: Woods J., Multidimensional Signal, Image and Video Processing and Coding, Elsevier, 2006, 0120885166

R: Bogges A., Narcowich F.J., First Course in Wavelets with Fourier Analysis, Prentice Hall, 2001, 0130228095

R: Mandal M.K., Multimedia Signals and Systems, Springer, 2003, 9781402072703

Last update: Švihlík Jan (31.07.2013)
Learning resources -

Last update: Švihlík Jan (31.07.2013)
Syllabus -

1 Introduction to signal processing

2 Transfer functions of imaging systems (PSF, OTF, MTF)

3 Image reconstruction methods (Inverse filter, Wiener filter, CLS filtr)

4 Continuous and discrete wavelet transform, generation of wavelet functions, recurrent formula

5 Image decomposition and reconstruction, pyramidal structure

6 De-noising methods (filtration, wavelet coefficients thresholding)

7 Image and signal modeling, noise modeling, Bayesian estimators

8 Image compression methods

9 Principles of complex wavelet transform, basic properties

10 Multidimensional signal analysis

11 Image quality measurement

12 Image component detection, principles of recognition, video processing

13 Image acquisition, algorithmic tools (Image Acquisition Tbx)

14 Speech Processing

Last update: TAJ445 (30.09.2013)
Registration requirements -

Mathematics I, Signal processing

Last update: Švihlík Jan (31.07.2013)
Teaching methods
Activity Credits Hours
Účast v laboratořích (na exkurzi nebo praxi) 0.5 14
Účast na přednáškách 1 28
Práce na individuálním projektu 0.5 14
Příprava na zkoušku a její absolvování 0.6 16
3 / 3 72 / 84
Coursework assessment
Form Significance
Regular attendance 40
Report from individual projects 20
Continuous assessment of study performance and course -credit tests 40