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Image Reproduction and Image Quality, 6 credits

Bildreproduktion och bildkvalitet, 6 hp

TNM097

Course starting semester

Main field of study

Media Technology and Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Sasan Gooran

Director of studies or equivalent

Camilla Forsell

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CMEN	Media Technology and Engineering, M Sc in Engineering	8 (Spring 2017)	1	4	Swedish	Norrköping, Norrköping	E

Main field of study

Media Technology and Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

Media Technology and Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Courses in Graphic arts and Image processing and analysis. Basic programming knowledge in Matlab.

Intended learning outcomes

After the course the student shall be gaining deep knowledge in image reproduction, with focus on both electronic and conventional media. An important subarea within image reproduction is image quality, including different criteria affecting the perceived image quality for different reproduction methods, and models that include the characteristics of human eye to objectively calculate quality measures. Furthermore, the student shall master the modern systems for color management, both by being able to use the existing software and tools and by implementing the most important models (mathematical and physical) for color reproduction. After the course the student shall be able to:

Describe the technical conditions, including limitations and possibilities, for a number of different image reproduction methods, both conventional and electronic.
Describe the differences and properties of different color systems, and identify the optimal choices for different applications.
Create, use and evaluate ICC-profiles in modern systems for color management.
Use professional instruments for color measurement, and describe the function and the differences between different types of instruments.
Calibrate and characterize image reproduction devices in order to ensure repeatability and controllable color reproduction.
Describe and implement mathematical and physical models for color prediction and color separation.
Identify and describe the technical attributes in a reproduced image that foremost affect the perceived image quality.
Evaluate image reproduction quality by applying objective quality models.
Give an overview of the actual research status within image reproduction, for both electronic and conventional reproduction methods.

Course content

Image reproduction: Technical conditions, limitations and possibilities for different techniques. Review of the actual research status, including for example multi-channel displays, multi-channel print and spectral image reproduction.
Image quality: Criteria that affect the perceived image quality for different reproduction methods. Models, based on the human vision, to calculate objective quality measures.
Color management: Color measure, calibrating and characterizing different image reproduction devices. Create and use ICC-profiles for color management. Color systems. Mathematical and physical models for color prediction and color separation.

Teaching and working methods

The course consists of lectures and laboratory work, followed by a bigger project assignment with oral and written presentation.

Examination

MUN1	Voluntary oral examination for higher grade	0 credits	U, 3, 4, 5
PRA1	Project work	4.5 credits	U, 3, 4, 5
LAB1	Laboratory work	1.5 credits	U, G

For grade 5, beside a well-performed project assignment, an individual oral exam is also required.

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för teknik och naturvetenskap

Director of Studies or equivalent

Camilla Forsell

Examiner

Sasan Gooran

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Code	Name	Scope	Grading scale
MUN1	Voluntary oral examination for higher grade	0 credits	U, 3, 4, 5
PRA1	Project work	4.5 credits	U, 3, 4, 5
LAB1	Laboratory work	1.5 credits	U, G

For grade 5, beside a well-performed project assignment, an individual oral exam is also required.

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Course literature is preliminary.

There is no course literature available for this course in studieinfo.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A	Modules
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)			X
	1.2 Fundamental engineering knowledge (G1X level)	X	X	X	LAB1 PRA1
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)	X	X	X	LAB1 PRA1
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving		X	X	LAB1 PRA1
	2.2 Experimentation, investigation, and knowledge discovery	X	X	X	LAB1 PRA1
	2.3 System thinking			X
	2.4 Attitudes, thought, and learning			X	MUN1
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork			X
	3.2 Communications			X
	3.3 Communication in foreign languages
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management
	4.4 Designing
	4.5 Implementing
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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