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A simulation framework for the design and evaluation of computational cameras

Nürnberg, Thomas 1; Schambach, Maximilian ORCID iD icon 1; Uhlig, David ORCID iD icon 1; Heizmann, Michael 1; Puente León, Fernando 1
1 Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie (KIT)

Abstract:

In the emerging field of computational imaging, rapid prototyping of new camera concepts becomes increasingly difficult since the signal processing is intertwined with the physical design of a camera. As novel computational cameras capture information other than the traditional two-dimensional information, ground truth data, which can be used to thoroughly benchmark a new system design, is also hard to acquire. We propose to bridge this gap by using simulation. In this article, we present a raytracing framework tailored for the design and evaluation of computational imaging systems. We show that, depending on the application, the image formation on a sensor and phenomena like image noise have to be simulated accurately in order to achieve meaningful results while other aspects, such as photorealistic scene modeling, can be omitted. Therefore, we focus on accurately simulating the mandatory components of computational cameras, namely apertures, lenses, spectral filters and sensors. Besides the simulation of the imaging process, the framework is capable of generating various ground truth data, which can be used to evaluate and optimize the performance of a particular imaging system. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000121021/pub
Veröffentlicht am 25.03.2021
Postprint §
DOI: 10.5445/IR/1000121021
Veröffentlicht am 23.03.2021
Originalveröffentlichung
DOI: 10.1117/12.2527599
Scopus
Zitationen: 8
Dimensions
Zitationen: 8
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industrielle Informationstechnik (IIIT)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 21.06.2019
Sprache Englisch
Identifikator ISBN: 978-151062801-4
ISSN: 0277-786X
KITopen-ID: 1000121021
Erschienen in Automated Visual Inspection and Machine Vision III. Ed.: J. Beyerer
Veranstaltung SPIE Optical Metrology (2019), München, Deutschland, 24.06.2019 – 27.06.2019
Verlag Society of Photo-optical Instrumentation Engineers (SPIE)
Seiten Article no: 1106102
Serie Proceedings of SPIE ; 11061
Externe Relationen Forschungsdaten/Software
Schlagwörter Computational cameras, raytracing, simulation, evaluation
Nachgewiesen in Dimensions
Scopus
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