Course - Advanced Colour Management - IMT4884
IMT4884 - Advanced Colour Management
Examination arrangement: Project work/Report
|Evaluation||Weighting||Duration||Grade deviation||Examination aids|
Topics: The aim of this course is to provide an understanding of current and next-generation colour management, together with experience in building and evaluating transforms between different colour media, materials and encodings. The course will be based around the ICC colour management architecture and the new features in iccMAX. It will build on a knowledge of the v4 ICC architecture, and show how iccMAX can be used to implement solutions to problems which cannot be addressed by conventional colour management, such as spectral processing, custom colorimetric observers, colour appearance transforms and non-isotropic surfaces. Participants will have the opportunity to be amongst the first to implement advanced technologies in iccMAX, to evaluate these technologies and to contribute to their further development. Participants will use the latest iccMAX reference implementation to build and test colour transforms.
- Reference encodings
- Characterization methods
- ICC data types -ICC LUT types
- ICC connection spaces
- ICC profile generation
- Spectral colour processing
- Gamut encoding and mapping
- ICC BRDF encoding and processing
- Applying colour appearance models in iccMAX
- Colour management for new application domains
Participants will generally focus on a sub-set of these topics in their coursework project.
On completion of this course, the student will be able to:
Knowledge -Define tasks and workflows for which the ICC v4 architecture is insufficient and which can benefit from the use of iccMAX -Describe and apply appropriate methods of encoding a gamut description encoding for iccMAX -Describe how colour transforms are encoded
Skills -Define and select custom observers, illuminants, viewing conditions and measurement data -Build multidimensional look-up tables to transform images between different colour encodings -Generate iccMAX profiles using the iccMAX reference implementation and apply them to images -Generate and apply iccMAX transforms and profiles for spectral colour processing -Generate and apply iccMAX transforms and profiles that simulate the appearance of colour to a colour-deficient observer -Generate and apply iccMAX transforms for an advanced construct such as material connection or BRDF Competencies -Determine and implement the iccMAX transform elements to utilise for a given colour processing task -Compute and encode inverse transforms -Evaluate transforms and profiles -Generate an Interoperability Conformance Specification for a colour management workflow
Learning methods and activities
- Lectures and Seminar(s)
- Project work
- The course will be delivered primarily through webinars, i.e. on-line lectures available for live or time-shifted access. This will be supplemented by on-line seminars, individual tutorials and project work
- Students are required to complete a coursework project. Students are also expected to view all course webinars remotely, and participate in at least one live on-line tutorial and seminar.
Further on evaluation
- Re-submission of coursework project.
- Students who wish to improve their grade in an element of the assessment shall present themselves for reassessment in that element.
Forms of assessment:
- Students will undertake an individual project on advanced colour management and provide a written rationale, analysis and discussion of results.
Admission to a programme of study is required:
Applied Computer Science (MACS)
Applied Computer Science (MACS-D)
Colour in Science and Industry (COSI) (MACS-COSI)
Computational Colour and Spectral Imaging (MSCOSI)
Recommended previous knowledge
IMT4304/4072 Cross-media Color reproduction or similar
Required previous knowledge
Basic textbook: Green, P. J. (2010) Color Management, NY: Wiley
Additional materials: iccMAX specification and reference implementation, available through http://www.color.org and through the iccMAX GitHub repository.
Credits: 7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2021
Language of instruction: English
- Computer Science
Examination arrangement: Project work/Report
- Term Status code Evaluation Weighting Examination aids Date Time Digital exam Room *
- Autumn ORD Project work/Report 100/100 ALLE
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"