Noise Power Spectrum Scene-Dependency in Simulated Image Capture Systems

Fry, E., Triantaphillidou, S., Jenkin, R., Jacobson, R.E. and Jarvis, J. 2020. Noise Power Spectrum Scene-Dependency in Simulated Image Capture Systems. Bonnier, Nicolas and Farias, Mylène (ed.) IS&T Electronic Imaging: Image Quality and System Performance XVII. Burlingame, California, USA 26 - 30 Jan 2020 The Society of Imaging Science and Technology. https://doi.org/10.2352/ISSN.2470-1173.2020.9.IQSP-345

TitleNoise Power Spectrum Scene-Dependency in Simulated Image Capture Systems
AuthorsFry, E., Triantaphillidou, S., Jenkin, R., Jacobson, R.E. and Jarvis, J.
EditorsBonnier, Nicolas and Farias, Mylène
TypeConference paper
Abstract

The Noise Power Spectrum (NPS) is a standard measure for image capture system noise. It is derived traditionally from captured uniform luminance patches that are unrepresentative of pictorial scene signals. Many contemporary capture systems apply non- linear content-aware signal processing, which renders their noise scene-dependent. For scene-dependent systems, measuring the NPS with respect to uniform patch signals fails to characterize with accuracy: i) system noise concerning a given input scene, ii) the average system noise power in real-world applications. The scene- and-process-dependent NPS (SPD-NPS) framework addresses these limitations by measuring temporally varying system noise with respect to any given input signal. In this paper, we examine the scene-dependency of simulated camera pipelines in-depth by deriving SPD-NPSs from fifty test scenes. The pipelines apply either linear or non-linear denoising and sharpening, tuned to optimize output image quality at various opacity levels and exposures. Further, we present the integrated area under the mean of SPD-NPS curves over a representative scene set as an objective system noise metric, and their relative standard deviation area (RSDA) as a metric for system noise scene-dependency. We close by discussing how these metrics can also be computed using scene-and-process- dependent Modulation Transfer Functions (SPD-MTF).

KeywordsNoise Power Spectrum
NPS
scene and process dependent
SPD-NPS
camera performance
Year2020
ConferenceIS&T Electronic Imaging: Image Quality and System Performance XVII
PublisherThe Society of Imaging Science and Technology
Accepted author manuscript
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Publication dates
Published26 Jan 2020
JournalElectronic Imaging
Journal citationXVII, pp. 345-1-345-7
ISSN2470-1173
Digital Object Identifier (DOI)https://doi.org/10.2352/ISSN.2470-1173.2020.9.IQSP-345
Web address (URL) of conference proceedingshttps://www.ingentaconnect.com/content/ist/ei

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