Dr. Henrik Eliasson
Imaging and Camera Specialist
SPIE Involvement:
Senior status | Author | Instructor
Publications (5)

Proceedings Article | 19 February 2013
Proc. SPIE. 8659, Sensors, Cameras, and Systems for Industrial and Scientific Applications XIV
KEYWORDS: Signal to noise ratio, Visualization, Imaging systems, Cameras, Sensors, Signal attenuation, Image resolution, Image sensors, High dynamic range imaging, Computer security

Proceedings Article | 25 January 2012
Proc. SPIE. 8293, Image Quality and System Performance IX
KEYWORDS: Signal to noise ratio, Cell phones, Visualization, Imaging systems, Spatial frequencies, Cameras, Image processing, Image quality, Modulation transfer functions, Contrast sensitivity

Proceedings Article | 24 January 2011
Proc. SPIE. 7876, Digital Photography VII
KEYWORDS: Signal to noise ratio, Optical filters, Cameras, Sensors, Matrices, Quantum efficiency, Interference (communication), Image quality, Image sensors, RGB color model

Proceedings Article | 19 January 2010
Proc. SPIE. 7537, Digital Photography VI
KEYWORDS: Infrared sensors, Light sources, Cameras, Sensors, Calibration, Image processing, Quantum efficiency, Image sensors, Optical filtering, Color reproduction

Proceedings Article | 3 March 2008
Proc. SPIE. 6817, Digital Photography IV
KEYWORDS: Monochromatic aberrations, Point spread functions, Spatial frequencies, Cameras, Distortion, Computer simulations, Image quality, Zernike polynomials, Modulation transfer functions, Device simulation

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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