Introduction to Image and Video Processing (5op)

Osaamistavoitteet

After completing the course, the student is able toexplain the basics of human visual system, brightness adaptation and discrimination, image formation, image sampling and quantization,present verbally or with mathematical formulas the spatial and frequency domain enhancement and restoration methods considered on the course for digital gray-scale images,calculate outputs of the methods for simple images using the calculator,explain the basics of color vision and pseudocolor images and the color models considered on the course,explain the basic concepts of video processing,implement covered operations independently for images using Matlab software.

Sisältö

Core contentDefinition and representation of digital image, basics of the human visual system, brightness adaptation and discrimination, image formation, two-dimensional sampling and quantizationImage enhancement and restoration both in spatial and frequency domains, two-dimensional discrete Fourier transform and classes of spatial and frequency domain filtersThe basics of color vision, color models and pseudocolor imagesThe basics of video processing, video file formats, resolutions and bit ratesMotion analysis and estimation, motion compensated filtering, deinterlacing and sampling rate conversionTopics of the possible visiting lectureComplementary knowledgeHistory of digital image processing, application areas and basic relationships between pixelsContinuous two-dimensional Fourier transform, properties of the two-dimensional discrete Fourier transform, other transforms and mathematical representation of individual filtersColor transformations between color models, color image smoothing and sharpeningVideo enhancementDetails of the possible visiting lectureSpecialist knowledgeMathematical derivation of the properties of the two-dimensional discrete Fourier transformMPEG standards

Esitietovaatimukset

EsitietoTunnus: COMP.SGN.100 /SGN-11000Nimi: Signaalinkäsittelyn perusteetLaajuus: 5Pakollisuus: Pakollinen

Lisätiedot

Partial completions of the course must be carried out during the same implementation round.