Study Guide 2015-2016

SGN-12006 Basic Course in Image and Video Processing, 5 cr

Lessons

Study type P1 P2 P3 P4 Summer Lecture times and places
Lectures
Excercises
 2 h/week
 2 h/week
+2 h/week
+2 h/week


 


 


 
Friday 12 - 14 , TB223
Friday 12 - 14 , TB222


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."