EN2401 Image and Video Processing 6.0 credits

• Educational level

  Second cycle

• Academic level (A-D)

  D

• Subject area

  Electrical Engineering
  

• Grade scale

  A, B, C, D, E, FX, F

• Course Web page

• Course page on KTH Social

Learning outcomes

This course provides an introduction to principles of digital image and video processing. After passing this course, participants should be able to use point operations, choose appropriate color spaces, perform basic image segmentation and image filtering, implement multiresolution and image matching techniques, video filters, and basic algorithms for image and video compression. Homework exercises and a course project will help students to gain hands-on experience.

Course main content

Continuous-tone images, point operations, color, image segmentation and morphological processing, image filtering, unitary transforms, multiresolution image processing, image matching, motion estimation, video filtering, motion-adaptive multiresolution processing, restoration, superresolution, image compression, motion-compensated video compression.

Eligibility

For single course students: 120 credits and documented proficiency in English B or equivalent

Prerequisites

EQ1220 Signal Theory or equivalent

Literature

R.C. Gonzalez and R.E. Woods: Digital Image Processing, Prentice-Hall, 2008.

Examination

• TENA - Examination, 6.0 credits, grade scale: A, B, C, D, E, FX, F

Requirements for final grade

Written examination (16%, 1 ECTS credit), homework (42%, 2.5 ECTS credits), course project (42%, 2.5 ECTS credits)

Offered by

EES/Sound and Image Processing

Contact

Markus Flierl

Examiner

Markus Flierl <mflierl@kth.se>

Version

Course plan valid from: Spring 10.
Examination information valid from: Spring 13.