Prof. Ingrid Heynderickx
Prof. at Philips Research Nederland BV
SPIE Involvement:
Author | Instructor
Publications (27)

SPIE Journal Paper | 20 April 2015
JEI, Vol. 24, Issue 02, 023030, (April 2015) https://doi.org/10.1117/12.10.1117/1.JEI.24.2.023030
KEYWORDS: Image quality, Distributed interactive simulations, Visualization, Remote sensing, Databases, Image compression, Image visualization, Eye, Visual analytics, Analytical research

Proceedings Article | 17 March 2015 Paper
Proceedings Volume 9394, 93940D (2015) https://doi.org/10.1117/12.2082817
KEYWORDS: Social networks, Machine vision, Computer vision technology, Visual process modeling, Image quality, Databases, Error analysis, Analytical research, Glasses, Statistical analysis

Proceedings Article | 17 March 2015 Paper
Proceedings Volume 9394, 93940A (2015) https://doi.org/10.1117/12.2085002
KEYWORDS: Video, Visualization, Feature selection, Video processing, Video compression, Multimedia, Image quality, Signal processing, Visual process modeling, Web 2.0 technologies

SPIE Journal Paper | 27 January 2015 Open Access
JBO, Vol. 20, Issue 01, 015005, (January 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.1.015005
KEYWORDS: Light emitting diodes, Tissues, Reflectivity, Multispectral imaging, Light sources, Visual system, Light sources and illumination, RGB color model, Lamps, Visibility

Proceedings Article | 25 February 2014 Paper
Proceedings Volume 9014, 90140W (2014) https://doi.org/10.1117/12.2042867
KEYWORDS: Video, Visualization, Video compression, Visibility, Multimedia, Signal generators, Electronic imaging, Neodymium, LCDs, Tablets

Showing 5 of 27 publications
Course Instructor
SC1045: Evaluation Methodology for 2D and 3D Displays
The course starts with an historical perspective of image quality, including an introduction to the Image Quality Circle framework of Engeldrum. The main goal of the first part of the course is to understand how to design reliable perception experiments for measuring image quality. To this end, the course provides an overview of evaluation methodologies and discusses common pitfalls. Consequently, the concept of image quality is extended towards concepts as naturalness and viewing experience. In the second part of the course, the focus is fully on 3D displays. This second part starts with the basics of depth perception. It then explains how to extend the Image Quality Circle framework by combining depth perception with image quality. Finally, the course ends with an extensive discussion on issues of visual discomfort, possibly occurring after prolonged viewing of 3D content.
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