Dr. Henrik Eliasson
SPIE Involvement:
Author | Instructor
Publications (5)

Proceedings Article | 19 February 2013 Paper
Proceedings Volume 8659, 86590B (2013) https://doi.org/10.1117/12.2000539
KEYWORDS: Sensors, Signal to noise ratio, Cameras, Image sensors, Image resolution, Visualization, Signal attenuation, High dynamic range imaging, Imaging systems, Computer security

Proceedings Article | 25 January 2012 Paper
Proceedings Volume 8293, 829302 (2012) https://doi.org/10.1117/12.905752
KEYWORDS: Image quality, Cameras, Modulation transfer functions, Visualization, Contrast sensitivity, Cell phones, Spatial frequencies, Imaging systems, Signal to noise ratio, Image processing

Proceedings Article | 24 January 2011 Paper
Proceedings Volume 7876, 78760L (2011) https://doi.org/10.1117/12.872494
KEYWORDS: Signal to noise ratio, Quantum efficiency, Interference (communication), RGB color model, Image sensors, Image quality, Optical filters, Matrices, Sensors, Cameras

Proceedings Article | 19 January 2010 Paper
Proceedings Volume 7537, 753709 (2010) https://doi.org/10.1117/12.838747
KEYWORDS: Sensors, Calibration, Optical filtering, Cameras, Light sources, Infrared sensors, Image sensors, Image processing, Quantum efficiency, Color reproduction

Proceedings Article | 3 March 2008 Paper
Proceedings Volume 6817, 68170O (2008) https://doi.org/10.1117/12.759370
KEYWORDS: Modulation transfer functions, Point spread functions, Zernike polynomials, Spatial frequencies, Cameras, Monochromatic aberrations, Distortion, Device simulation, Computer simulations, Image quality

Course Instructor
SC1233: Camera Image Quality Benchmarking
The purpose of this short course is to show that it is possible to compare the image quality of consumer imaging systems in a perceptually relevant manner. Because image quality is multi-faceted, generating a concise and relevant evaluative summary of photographic systems can be challenging. Indeed, benchmarking the image quality of still and video imaging systems requires that the assessor understands not only the capture device itself, but also the imaging applications for the system. This course explains how objective metrics and subjective methodologies are used to benchmark image quality of photographic still image and video capture devices. The course will review key image quality attributes and the flaws that degrade those attributes, including causes and consequences of the flaws on perceived quality. Content will touch on various subjective evaluation methodologies as well as objective measurement methodologies relying on existing standards from ISO, IEEE/CPIQ, ITU and beyond. The course focus is on consumer imaging systems, so the emphasis will be on the value of using objective metrics which are perceptually correlated and generating benchmark data from the combination of objective and subjective metrics.
SC1049: Benchmarking Image Quality of Still and Video Imaging Systems
Because image quality is multi-faceted, generating a concise and relevant evaluative summary of photographic systems can be challenging. Indeed, benchmarking the image quality of still and video imaging systems requires that the assessor understands not only the capture device itself, but also the imaging applications for the system. This course explains how objective metrics and subjective methodologies are used to benchmark image quality of photographic still image and video capture devices. The course will go through key image quality attributes and the flaws that degrade those attributes, including causes and consequences of the flaws on perceived quality. Content will describe various subjective evaluation methodologies as well as objective measurement methodologies relying on existing standards from ISO, IEEE/CPIQ, ITU and beyond. Because imaging systems are intended for visual purposes, emphasis will be on the value of using objective metrics which are perceptually correlated and generating benchmark data from the combination of objective and subjective metrics. The course "SC1157 Camera Characterization and Camera Models," describing camera models and objective measurements, complements the treatment of perceptual models and subjective measurements provided here.
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