19 January 2009 Imaging performance taxonomy
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A significant challenge in the adoption of today's digital imaging standards is a clear connection to how they relate to today's vernacular digital imaging vocabulary. Commonly used terms like resolution, dynamic range, delta E, white balance, exposure, or depth of focus are mistakenly considered measurements in their own right and are frequently depicted as a disconnected shopping list of individual metrics with little common foundation. In fact many of these are simple summary measures derived from more fundamental imaging science/engineering metrics, adopted in existing standard protocols. Four important underlying imaging performance metrics are; Spatial Frequency Response (SFR), Opto-Electronic Conversion Function (OECF), Noise Power Spectrum (NPS), and Spatial Distortion. We propose an imaging performance taxonomy. With a primary focus on image capture performance, our objective is to indicate connections between related imaging characteristics, and provides context for the array of commonly used terms. Starting with the concepts of Signal and Noise, the above imaging performance metrics are related to several simple measures that are compatible with testing for design verification, manufacturing quality assurance, and technology selection evaluation.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Don Williams, Don Williams, Peter D. Burns, Peter D. Burns, Larry Scarff, Larry Scarff, } "Imaging performance taxonomy", Proc. SPIE 7242, Image Quality and System Performance VI, 724208 (19 January 2009); doi: 10.1117/12.806236; https://doi.org/10.1117/12.806236

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