Babes-Bolyai University of Cluj-Napoca
Faculty of Mathematics and Computer Science
Study Cycle: Graduate

SUBJECT

Code
Subject
MII0017 Optimisations in Image Processing
Section
Semester
Hours: C+S+L
Category
Type
Computer Science - in English
6
2+0+2
speciality
optional
Teaching Staff in Charge
Lect. LUPSA Radu, Ph.D.,  rlupsacs.ubbcluj.ro
Aims
Learning the main methods in image representation and processing.
Content
1. Physical quantities representing in an image and physical phenomenons involved in the aquisition process.
2. Colors: physical fundamentals and representation systems (SPD, XYZ, Yxy, L*a*b*).
3. Image representations: pixel maps, geometrical representations, transforms (Fourier, wavelets). Issues regarding discrete domain (aliasing problems) and discrete valued images. Multiresolution representations.
4. Simple linear operations: translation, rotation, scaling; convolution: low-pas, high-pass, mid-pass filters.
5. Non-linear operations: contrast changes; morphological operations: erosion, dilatation, opening, closure, median filter, hit-or-miss, skeleton.
6. Image restauration: degradation model, Wiener filter.
7. Image analysis: edge and feature detection, image segmentation.
8. Compression methods.
References
1. Aurel Vlaicu, Prelucrarea digitală a imaginilor, Ed. Albastră, 1997
2. Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, Addison-Wesley, 1992.
Assessment
The students will have a project, plus some auxiliary lab themes. Final grade is: 25% lab activity and 75% the project (final presentation).
Links: Syllabus for all subjects
Romanian version for this subject
Rtf format for this subject