Course detail
Elements of Digital Signal and Image Processing
FEKT-MEDSAcad. year: 2012/2013
Fundamental concepts of signal theory and signal processing systems - time and frequency domains, deterministic and stochastic signals. Digital signals - sampling and reconstruction, discrete spectra. Principles and properties of digital linear filtering - FIR and IIR filters. Noise suppression and signal restoration - averaging, optimal filtering. Discrete correlation analysis and spectral analysis.
Basics of digital image representation, two-dimensional signals and systems. Basic image processing operators, image enhancement - sharpening, noise suppression, contrast and colour transforms.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
time and frequency domains, deterministic and stochastic signals. Digital
signals - sampling and reconstruction, discrete spectra. Principles and
properties of digital linear filtering - FIR and IIR filters. Noise
suppression and signal restoration - averaging, optimal filtering.
Discrete correlation analysis and spectral analysis.
Basics of digital image representation, two-dimensional signals and
systems. Basic image processing operators, image enhancement - sharpening,
noise suppression, contrast and colour transforms.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
J.Jan: Digital Signal Filtering, Analysis and Restoration, IEE London (UK) 2000, ISBN 0 85296 760 8
J.Jan: Medical Image Processing, Reconstruction and Restoration. CRC 2006
Recommended reading
Classification of course in study plans
- Programme EEKR-M Master's
branch M-BEI , 2 year of study, summer semester, elective general
branch M-MEL , 2 year of study, summer semester, elective general
branch M-KAM , 2 year of study, summer semester, elective general
branch M-SVE , 2 year of study, summer semester, elective general
branch M-EST , 2 year of study, summer semester, elective general
branch M-EVM , 2 year of study, summer semester, elective general
branch M-EEN , 2 year of study, summer semester, elective general
branch M-TIT , 2 year of study, summer semester, elective general
branch M-BEI , 1 year of study, summer semester, elective general
branch M-MEL , 1 year of study, summer semester, elective general
branch M-KAM , 1 year of study, summer semester, elective general
branch M-SVE , 1 year of study, summer semester, elective general
branch M-EST , 1 year of study, summer semester, elective general
branch M-EVM , 1 year of study, summer semester, elective general
branch M-EEN , 1 year of study, summer semester, elective general
branch M-TIT , 1 year of study, summer semester, elective general - Programme EEKR-M Master's
branch M-EVM , 2 year of study, summer semester, elective general
branch M-EEN , 2 year of study, summer semester, elective general
branch M-TIT , 2 year of study, summer semester, elective general
branch M-BEI , 2 year of study, summer semester, elective general
branch M-EST , 2 year of study, summer semester, elective general
branch M-MEL , 2 year of study, summer semester, elective general
branch M-KAM , 2 year of study, summer semester, elective general
branch M-SVE , 2 year of study, summer semester, elective general
branch M-BEI , 1 year of study, summer semester, elective general
branch M-EST , 1 year of study, summer semester, elective general
branch M-EVM , 1 year of study, summer semester, elective general
branch M-EEN , 1 year of study, summer semester, elective general
branch M-TIT , 1 year of study, summer semester, elective general
branch M-MEL , 1 year of study, summer semester, elective general
branch M-KAM , 1 year of study, summer semester, elective general
branch M-SVE , 1 year of study, summer semester, elective general - Programme EEKR-CZV lifelong learning
branch EE-FLE , 1 year of study, summer semester, elective general
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
time and frequency domains, deterministic and stochastic signals. Digital
signals - sampling and reconstruction, discrete spectra. Principles and
properties of digital linear filtering - FIR and IIR filters. Noise
suppression and signal restoration - averaging, optimal filtering.
Discrete correlation analysis and spectral analysis.
Basics of digital image representation, two-dimensional signals and
systems. Basic image processing operators, image enhancement - sharpening,
noise suppression, contrast and colour transforms.