CS530 High Dynamic Range Imaging (HDR)

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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

None
Lecturer Office Hours / Room / Phone

Currently not available
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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:
  1. Explain the difference between LDR and HDR images.
  2. Create, tone map, display, HDR images.
  3. Apply alignment and deghosting algorithms to generate multi-exposure HDR images.
  4. Evaluate HDR images.
  5. 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
Final Exam 1 35
Semester Evaluation Components
Project 1 40
Research paper 1 20
Research paper 1 5
***     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: 09/03/2021
QR Code for https://ecampus.ius.edu.ba/syllabus/cs530-high-dynamic-range-imaging-hdr

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