COURSE INFORMATION Course Title: DIGITAL IMAGE PROCESSING

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 543	B	2	3	2	0	4	7.5

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Assoc.Prof.Dr. Arban Uka auka@epoka.edu.al
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Study program: (the study for which this course is offered)	Master of Science in Electronics and Communication Engineering
Classroom and Meeting Time:
Code of Ethics:	Code of Ethics of EPOKA University Regulation of EPOKA University "On Student Discipline"
Attendance Requirement:
Course Description:	Digital images, sampling and quantization of images, arithmetic operations, gray scale manipulations, distance measures, image compression techniques, connectivity, image transforms, enhancement, restoration, segmentation, representation and description.
Course Objectives:	The course aims to provide basic knowledge of digital video signal generation and advanced techniques on communication systems. The terminology of digital image and video processing, time-spatial sampling, motion analisys, parametric models of the movement, noise filtring techniques, stereo vision, multiresolution processing, fractal geometry, object segmentation, JPEG and MPEG compression standard

BASIC CONCEPTS OF THE COURSE

1	Understanding the composition of an image as a matrix
2	Understanding that images can be manipulated as matrices
3	Understanding that filtering is a convolution of two matrices (one is the filter)

COURSE OUTLINE

Week	Topics
1	Introduction to DIP techniques, image presentation
2	DIP Techniques, resolution in image plane (on CCD) and object plane
3	Image perception, resolution dependence on wavelength of light, Image Acquisition modalities
4	Image Sampling and quantization, mathematical tools in image processing
5	Intensity transformation functions, image enhancement and filtering in Spatial Domain
6	Image enhancement in spatial domain, Linear and nonlinear filters
7	Filtering in the Frequency Domain, lowpass and highpass filters in frequency domain, FFT
8	Image Restoration and Reconstruction I
9	Image Restoration and Reconstruction II
10	Wavelet transform, and other (Haar, Walsh-Hadamard) transformations
11	Color image processing, GPCA, Flase colors, Pseudo Colors
12	Image compression and watermarking
13	BIt Plane coding, Block transform coding
14	Morphological image processing

Prerequisite(s):
Textbook(s):	Digital Image Processing, R. Gonzalez, R. Woods, 2019
Additional Literature:
Laboratory Work:	Enhancement of images in Matlab
Computer Usage:	Matlab
Others:	No

COURSE LEARNING OUTCOMES

1	Basic knowledge on images and their presentations, the resolution in object plane and image plane
2	Knowledge in digital image acquisition devices and their problems
3	Knowledge in image enhancement
4	Knowledge in image compression

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Master of Science in Electronics and Communication Engineering Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations	5
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	4
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	5
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	5
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	5
8	Ability for effective oral and official communication skills in foreign language.	5
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	4
10	Engineering graduates with well-structured responsibilities in profession and ethics.	5
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.	4
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	4

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	3	5
Midterm Exam(s)	1	25
Project	2	20
Final Exam	1	20
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	5	80
Hours for off-the-classroom study (Pre-study, practice)	16	2	32
Mid-terms	1	15	15
Assignments	3	12	36
Final examination	1	24.5	24.5
Other			0
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5

CONCLUDING REMARKS BY THE COURSE LECTURER

Knowledge of linear algebra is essential