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

Code	Subject	
MII0017	Optimisations in Image Processing	

Section	Sem.	Hours: C+S+L	Category	Type	
Computer Science - in English	6	2+0+1	speciality	optional	
Information engineering - in English	8	0+0+0	speciality	optional	

Teaching Staff in Charge	Lect. LUPSA Radu, Ph.D., rlupsa@cs.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.
	
Bibliography	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).