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

Additional information

This course is equivalent to SGN-3010

Person responsible

Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj

Lessons

Implementation Period Person responsible Requirements
SGN-12006 2016-01 1 - 2 Moncef Gabbouj
Alexandros Iosifidis
Jenni Raitoharju
Weekly Exercises and final exam.

Learning Outcomes

This course is designed to help the student: * Apply principles and techniques of digital image processing in applications related to digital imaging system design and analysis. * Analyze and implement image processing algorithms. * Gain hands-on experience in using software tools for processing digital images.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Students learn the building blocks of a digital image processing system, and learn about the different types of images to be processed in the course as well as the type of problems to be solved. Students then learn the principles of image formation, sampling, quantization and the human visual system, which will allow them to investigate specific image processing techniques later on.  Human Visual System, Image Acqusition, Sampling theorem. Fourier Family and other Transforms.  Nonlinear filtering. 
2. The first major task to be learned is image intensity transformations and spatial filtering for the purpose of image enhancement in the spatial and frequency domains.The second major task is image restoration in the spatial and frequency domains. Students learn how to deal with different types of noise models and degradation processes. Then they learn about inverse filtering and Wiener filtering.  LTI systems, Impulse response, and frequency response of Linear Filters.  Image analysis and segmentation. 
3. the students will learn about color spaces and color image processing and how to restore and enhance color images and different color spaces.  Colorimetry and color science. Color Processing and Enhancement.   
4. Students will learn the basics of video processing and applications: The fundamentals of digital video processing, basic video file formats, resolutions, and bit rates. The principles of video acqusition.   3D signals and video enhancement.  Video file formats 
5. Finally, various video applications will be covered such as: digital video applications, motion analysis and estimation, motion-compensated filtering methods for noise removal, de-interlacing, and resolution enhancement, a brief overview of video analysis including shot-boundary detection and scene extraction.   2D/3D Motion Estimation and Analysis  MPEG standards 

Instructions for students on how to achieve the learning outcomes

Course Outcomes: This course requires the student to demonstrate the ability to: 1. Explain the basic elements and applications of image processing 2. Analyze image sampling and quantization requirements and implications 3. Perform Gray level transformations for Image enhancement 4. Apply histogram equalization for image enhancement 5. Use and implement order-statistics image enhancement methods 6. Design and implement two-dimensional spatial filters for image enhancement 7. Model the image restoration problem in both time and frequency domains 8. Explain Wiener filtering for de-blurring and noise removal 9. Explain the representation of colors in digital color images 10. Use Matlab to implement different image processing tasks 11. Document implementation code, report experimental results and draw proper conclusions 12. Prepare and submit a (optional) project report. Course assessment criteria: Grading is on a scale of 1-5. In order to pass the course, students must collect at least half the points from the final exam and attend at least 8 exercise sessions. A project work may also be assigned.

Assessment scale:

Numerical evaluation scale (0-5)

Partial passing:

Completion parts must belong to the same implementation

Study material

Type Name Author ISBN URL Additional information Examination material
Book   Digital Video Processing (2nd Edition) (Prentice Hall Signal Processing) 2nd Edition   Murat Tekalp       The book covers parts of the material on video processing   No   
Book   Digital Image Processing   R. Gonzalez and R. Woods       https://www.imageprocessingplace.com/, 3rd edition, Prentice-Hall, New Jersey, 2008   Yes   
Lecture slides             Yes   

Prerequisites

Course Mandatory/Advisable Description
SGN-11006 Basic Course in Signal Processing Advisable    

Additional information about prerequisites
Equivalent knowledge of the basics of digital signal processing is required.



Correspondence of content

Course Corresponds course  Description 
SGN-12006 Basic Course in Image and Video Processing, 5 cr SGN-3016 Digital Image Processing I, 5 cr  
SGN-12006 Basic Course in Image and Video Processing, 5 cr SGN-12000 Basic Course in Image and Video Processing, 5 cr  
SGN-12006 Basic Course in Image and Video Processing, 5 cr SGN-12007 Introduction to Image and Video Processing, 5 cr  

Updated by: Iosifidis Alexandros, 11.06.2016