Dr. Brian W. Keelan
Senior Research Staff at
SPIE Involvement:
Author | Instructor
Publications (16)

PROCEEDINGS ARTICLE | January 24, 2012
Proc. SPIE. 8299, Digital Photography VIII
KEYWORDS: Signal to noise ratio, Data modeling, Visualization, Sensors, Electrons, Interference (communication), Visual system, Modulation transfer functions, Contrast sensitivity, Detection theory

PROCEEDINGS ARTICLE | January 24, 2012
Proc. SPIE. 8299, Digital Photography VIII
KEYWORDS: Digital photography, Defect detection, Detection and tracking algorithms, Visualization, Sensors, Retina, Numerical simulations, Image quality, Image sensors, Electronic imaging

PROCEEDINGS ARTICLE | January 24, 2012
Proc. SPIE. 8299, Digital Photography VIII
KEYWORDS: Signal to noise ratio, Visualization, Cameras, Sensors, Signal attenuation, Interference (communication), Image quality, Solids, RGB color model, Steiner quadruple pulse system

PROCEEDINGS ARTICLE | January 24, 2011
Proc. SPIE. 7867, Image Quality and System Performance VIII
KEYWORDS: Signal to noise ratio, Imaging systems, Image processing, Digital filtering, Denoising, Interference (communication), Gaussian filters, Image filtering, Modulation transfer functions, RGB color model

PROCEEDINGS ARTICLE | January 24, 2011
Proc. SPIE. 7867, Image Quality and System Performance VIII
KEYWORDS: Visualization, Cameras, Calibration, Retina, Interference (communication), Image quality, Objectives, Modulation transfer functions, RGB color model, Steiner quadruple pulse system

PROCEEDINGS ARTICLE | September 8, 2010
Proc. SPIE. 7798, Applications of Digital Image Processing XXXIII
KEYWORDS: Signal to noise ratio, Visualization, Spatial frequencies, Image processing, Quantum efficiency, Interference (communication), Quality measurement, Image quality, Modulation transfer functions, Systems modeling

Showing 5 of 16 publications
Course Instructor
SC593: Characterization and Prediction of Image Quality
This course explains how to evaluate the quality of an image using numerical scales and physical standards; and how to predict the distribution of quality that would be produced by a pictorial imaging system under conditions of actual customer use. A framework is presented for conducting calibrated, extensible psychometric research so that results from different experiments can be rigorously integrated to construct predictive software using Monte Carlo simulations. Development of generalized objective metrics correlating with perceptual attributes based on psychometric data is discussed in detail and a number of examples of practical applications to product design are provided.
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