SGN-12006 Basic Course in Image and Video Processing, 5 cr
Lessons
Study type | P1 | P2 | P3 | P4 | Summer | Lecture times and places |
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Description:
Image and Video Processing: Content: image processing basics, multi-dimensional sampling theory, aliasing, and quantization, fundamentals of color, human visual system, 2-D Fourier Family, DFT, and image filtering, edge detection, enhancement, and restoration, basic video file formats, resolutions, and bit rates for various digital video applications, motion analysis and estimation,de-interlacing, and resolution enhancement, a brief overview of video analysis including shot-boundary detection and scene extraction. State-of-the-art digital image and video compression methods and standards will also be covered in this course.
Person responsible:
Alexandros Iosifidis
Serkan Kiranyaz
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Additional information of course implementation:
"image processing basics, multi-dimensional sampling theory, aliasing, and quantization, fundamentals of color, human visual system, 2-D Fourier Family, DFT, and image filtering, edge detection, enhancement, and restoration, basic video file formats, resolutions, and bit rates for various digital video applications, motion analysis and estimation,de-interlacing, and resolution enhancement, a brief overview of video analysis including shot-boundary detection and scene extraction. State-of-the-art digital image and video compression methods and standards will also be covered in this course."