Title | Camera System Performance Derived from Natural Scenes |
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Authors | Van Zwanenberg, O., Triantaphillidou, S., Jenkin, R. and Psarrou, A. |
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Editors | Bonnier, Nicolas and Farias, Mylène |
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Type | Conference paper |
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Abstract | The Modulation Transfer Function (MTF) is a well-established measure of camera system performance, commonly employed to characterize optical and image capture systems. It is a measure based on Linear System Theory; thus, its use relies on the assumption that the system is linear and stationary. This is not the case with modern-day camera systems that incorporate non-linear image signal processes (ISP) to improve the output image. Non-linearities result in variations in camera system performance, which are dependent upon the specific input signals. This paper discusses the development of a novel framework, designed to acquire MTFs directly from images of natural complex scenes, thus making the use of traditional test charts with set patterns redundant. The framework is based on extraction, characterization and classification of edges found within images of natural scenes. Scene derived performance measures aim to characterize non-linear image processes incorporated in modern cameras more faithfully. Further, they can produce ‘live’ performance measures, acquired directly from camera feeds. |
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Keywords | Modulation Transfer Function, MTF, SFR, Spatial Frequency Response, Natural Scene SFR, NS-SRF |
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Year | 2020 |
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Conference | IS&T Electronic Imaging: Image Quality and System Performance XVII |
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Publisher | The Society of Imaging Science and Technology |
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Accepted author manuscript | |
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Publisher's version | License CC BY 4.0 File Access Level Open (open metadata and files) |
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Publication dates |
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Published | 26 Jan 2020 |
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Journal | Electronic Imaging |
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Journal citation | pp. 241-1-241-10 |
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ISSN | 2470-1173 |
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Digital Object Identifier (DOI) | https://doi.org/10.2352/ISSN.2470-1173.2020.9.IQSP-241 |
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Web address (URL) of conference proceedings | https://www.ingentaconnect.com/content/ist/ei |
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