CS530 High Dynamic Range Imaging (HDR)

Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026

Referencing Curricula

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Computer Sciences and Engineering

Academic Year

Semester

Course Code

CS530

Weekly Hours

3 Teaching + 0 Practice

ECTS

Prerequisites

None

Teaching Mode Delivery

Online

Prerequisite For

Teaching Mode Delivery Notes

Cycle

II Cycle

TBA

Course Lecturer

Position

Phone

033 957

Assistant(s)

Assistant E-mail

Course Objectives

"On successful completion of this course the student will be able to: 1. Apply concepts and algorithms to create, tone map, display and evaluate HDR images 2. Present advanced high dynamic range imaging concepts in a concise manner to an audience."

Learning Outcomes

After successful completion of the course, the student will be able to:

Explain the difference between LDR and HDR images.

Create, tone map, display, HDR images.

Apply alignment and deghosting algorithms to generate multi-exposure HDR images.

Evaluate HDR images.

Perform independed research on a topic and present it to the audience.

Course Materials

Required Textbook

High Dynamic Range Imaging, Acquisition, Display and Image-Based Lighting, Erik Reinhard, Wolfgang Heidrich, Paul Debevec,Sumanta Pattanaik,Greg Ward, Karol Myszkowski, 2nd Edition,Morgan Kaufmann Series

Additional Literature

Teaching Methods

The student is expected to carry out a semester long project in order to demonstrate the skills required to implement a real-world project

First 9 weeks, there will be 3 hours of lectures including project guidence

Afterwards, there will be regular consulation meetings with the students in order to guide and evaluate the term project

Students are also expected to perform a research on High Dynamic Range imaging topic and to write and present a research paper at the end of the semester

Weekly Topics

This weekly planning is subject to change with advance notice.

Week	Topic	Readings / References
1	Introduction to High Dynamic Range Imaging, Light and color	Chapters 1, 2
2	The Human Visual System, HDR Image Encodings, HDR Image Capture (Photography and Light Measurement, HDR Image Capture from Multiple Exposures, Film Scanning,)	Chapters 3, 6.1,4.1-4.3 + relevant papers
3	HDR Image Capture (Image Registration and Alignment, Ghost Removal, Direct Caputre of HDR Imagery)	Chapters 4.4-4.9 + relevant papers
4	Display Devices, HDR Tone Mapping, Spatial Tone Reproduction	Chapter 5, 6, 7 + relevant papers
5 📍	Project proposal presentatins
6	Frequency Domain and Gradient domain Tone Reproduction	Chapters 8 + relevant papers
7	Metrics for evaluation HDR images	Relevant papers
8	Applications of HDR Imaging, HDR video	Relevant papers
9	Work on the project and evaluation	Relevant papers
10	Work on the project and evaluation
11	Work on the project and evaluation
12	Work on the project and evaluation
13	Paper presentations.
14	Project presentations and Final review
15

Course Schedule (All Sections)

Course Schedules with all sections will be available here soon.

Office Hours & Room

Course Office hours will be available here soon.

Assessment Methods and Criteria

Assessment Components

35%x1

Final Exam

AI: Not Allowed

Alignment with Learning Outcomes :

40%x1

Project

AI: Not Allowed

Alignment with Learning Outcomes :

20%x1

Research paper

AI: Not Allowed

Alignment with Learning Outcomes :

5%x1

Research paper

AI: Not Allowed

Alignment with Learning Outcomes :

IUS Grading System

Grading Scale	IUS Grading System	IUS Coeff.	Letter (B&H)	Numerical (B&H)
0 - 44	F	0	F	5
45 - 54	E	1	F	5
55 - 64	C	2	E	6
65 - 69	C+	2.3	D	7
70 -74	B-	2.7	D	7
75 - 79	B	3	C	8
80 - 84	B+	3.3	C	8
85 - 94	A-	3.7	B	9
95 - 100	A	4	A	10

Late Work Policy

Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.

ECTS Credit Calculation

📚 Student Workload

This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:

Lecture hours

42 hours ⏳ (14 week × 3 h)

Project

48 hours ⏳ (12 week × 4 h)

Research

36 hours ⏳ (12 week × 3 h)

Home study

14 hours ⏳ (14 week × 1 h)

Final exam study

10 hours ⏳ (1 week × 10 h)

150 Total Workload Hours

6 ECTS Credits

Course Policies

Academic Integrity

All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.

Attendance Policy

Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.

Technology & AI Policy

Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.

Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.

Communication Policy

All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [CS530] in the subject line.

Academic Quality Assurance Policy

Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.

More info

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.

Think Critically in Assignments

Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.

Ask Questions Early

Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.

Syllabus Last Updated on Mar 03, 2026 | International University of Sarajevo

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Referencing Curricula Print this page

Course Code	Course Title			Weekly Hours*		ECTS		Weekly Class Schedule
				T	P
CS530	High Dynamic Range Imaging (HDR)			3	0	6
Prerequisite	None		It is a prerequisite to	-
Lecturer			Office Hours / Room / Phone	Currently not available
E-mail
Assistant			Assistant E-mail
Course Objectives	"On successful completion of this course the student will be able to: 1. Apply concepts and algorithms to create, tone map, display and evaluate HDR images 2. Present advanced high dynamic range imaging concepts in a concise manner to an audience."
Textbook	High Dynamic Range Imaging, Acquisition, Display and Image-Based Lighting, Erik Reinhard, Wolfgang Heidrich, Paul Debevec,Sumanta Pattanaik,Greg Ward, Karol Myszkowski, 2nd Edition,Morgan Kaufmann Series
Additional Literature
Learning Outcomes	After successful completion of the course, the student will be able to:
	Explain the difference between LDR and HDR images. Create, tone map, display, HDR images. Apply alignment and deghosting algorithms to generate multi-exposure HDR images. Evaluate HDR images. Perform independed research on a topic and present it to the audience.
Teaching Methods	The student is expected to carry out a semester long project in order to demonstrate the skills required to implement a real-world project . First 9 weeks, there will be 3 hours of lectures including project guidence. Afterwards, there will be regular consulation meetings with the students in order to guide and evaluate the term project. Students are also expected to perform a research on High Dynamic Range imaging topic and to write and present a research paper at the end of the semester.
Teaching Method Delivery	Online	Teaching Method Delivery Notes
WEEK	TOPIC						REFERENCE
Week 1	Introduction to High Dynamic Range Imaging, Light and color						Chapters 1, 2
Week 2	The Human Visual System, HDR Image Encodings, HDR Image Capture (Photography and Light Measurement, HDR Image Capture from Multiple Exposures, Film Scanning,)						Chapters 3, 6.1,4.1-4.3 + relevant papers
Week 3	HDR Image Capture (Image Registration and Alignment, Ghost Removal, Direct Caputre of HDR Imagery)						Chapters 4.4-4.9 + relevant papers
Week 4	Display Devices, HDR Tone Mapping, Spatial Tone Reproduction						Chapter 5, 6, 7 + relevant papers
Week 5	Project proposal presentatins
Week 6	Frequency Domain and Gradient domain Tone Reproduction						Chapters 8 + relevant papers
Week 7	Metrics for evaluation HDR images						Relevant papers
Week 8	Applications of HDR Imaging, HDR video						Relevant papers
Week 9	Work on the project and evaluation						Relevant papers
Week 10	Work on the project and evaluation
Week 11	Work on the project and evaluation
Week 12	Work on the project and evaluation
Week 13	Paper presentations.
Week 14	Project presentations and Final review
Week 15

Assessment Methods and Criteria	Evaluation Tool	Quantity	Weight	Alignment with LOs	AI Usage
	Final Exam	1	35		Not Allowed
	Semester Evaluation Components
	Project	1	40		Not Allowed
	Research paper	1	20		Not Allowed
	Research paper	1	5		Not Allowed
* ECTS Credit Calculation *

Activity	Hours	Weeks	Student Workload Hours	Activity	Hours	Weeks	Student Workload Hours
Lecture hours	3	14	42	Project	4	12	48
Research	3	12	36	Home study	1	14	14
Final exam study	10	1	10
				Total Workload Hours =			150
*T= Teaching, P= Practice				ECTS Credit =			6
Course Academic Quality Assurance: Semester Student Survey						Last Update Date: 27/03/2026

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CS530 High Dynamic Range Imaging (HDR)

CS530 High Dynamic Range Imaging (HDR)

Computer Sciences and Engineering

TBA

Course Objectives

Learning Outcomes

Course Materials

Required Textbook

Additional Literature

Teaching Methods

The student is expected to carry out a semester long project in order to demonstrate the skills required to implement a real-world project

First 9 weeks, there will be 3 hours of lectures including project guidence

Afterwards, there will be regular consulation meetings with the students in order to guide and evaluate the term project

Students are also expected to perform a research on High Dynamic Range imaging topic and to write and present a research paper at the end of the semester

Weekly Topics Expand All

Course Schedule (All Sections)

Office Hours & Room

Assessment Methods and Criteria

Assessment Components

Final Exam

Project

Research paper

Research paper

IUS Grading System

Late Work Policy

ECTS Credit Calculation

📚 Student Workload

Lecture hours

Project

Research

Home study

Final exam study

Course Policies

Academic Integrity

Attendance Policy

Technology & AI Policy

Communication Policy

Academic Quality Assurance Policy

Learning Tips

Weekly Topics