Country of Origin: India
Host Institution: NTNU
Tanzima Habib is a final year master's student at NTNU. Currently, she is working as a colour science intern at HP Printing and Computing Solutions, SLU, Barcelona. In her current role she is a part of the writing systems group and is researching into predicting ICC profiles for various printmodes using machine learning. She has a diverse background in software engineering and geoinformatics, and her interest lies primarily in the domain of colour management and image processing.
Aspirations within projects:
Her research interest lie in the domain of image processing, colour reproduction and visual appearance. In this project she aspires to predict 2.5D appearance using a well tested colour reproduction framework as well to find out efficient processing techniques to handle high texture information related to non- planar media.
ESR11: Image Appearance reproduction workflow using 2.5D printing techniques
- Philip John Green (NTNU)
- Identify the requirements for a 2.5D colour reproduction system based on iccMAX colour management technology, and implement a framework.
- Develop and evaluate advanced methods for predicting the appearance of 2.5D output media which integrate into projected colour management workflows.
- Develop and implement forward and inverse channel mixing models using next-generation colour management technologies.
- Determine optimum methods of data exchange and processing for spatially varying and non-planar media.
Habib, T., P. Green P. Nussbaum (2020): BRDF rendering by interpolation of optimised model parameters. Society for Imaging Science and Technology. Color and Imaging Conference 2020.
Habib, T., P. Green and A. Sole (2020): Implementing Directional Reflectance in a Colour Managed Workflow. Society for Imaging Science and Technology, 2020, London Imaging Meeting 2020: Future Colour Imaging, pp. 119-123(5). DOI: https://doi.org/10.2352/issn.2694-118X.2020.LIM-33
Habib, T., P. Green and P. Nussbaum (2020): Spectral reproduction: drivers, use cases and workflow. Society for Imaging Science and Technology, 2020, p-.121-5