Introduction to Image and Video Processing, 5 cr

Core content

• Definition and representation of digital image, basics of the human visual system, brightness adaptation and discrimination, image formation, two-dimensional sampling and quantization
• Image enhancement and restoration both in spatial and frequency domains, two-dimensional discrete Fourier transform and classes of spatial and frequency domain filters
• The basics of color vision, color models and pseudocolor images
• The basics of video processing, video file formats, resolutions and bit rates
• Motion analysis and estimation, motion compensated filtering, deinterlacing and sampling rate conversion
• Topics of the possible visiting lecture

Complementary knowledge

• History of digital image processing, application areas and basic relationships between pixels
• Continuous two-dimensional Fourier transform, properties of the two-dimensional discrete Fourier transform, other transforms and mathematical representation of individual filters
• Color transformations between color models, color image smoothing and sharpening
• Video enhancement
• Details of the possible visiting lecture

Specialist knowledge

• Mathematical derivation of the properties of the two-dimensional discrete Fourier transform
• MPEG standards