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Estimation of Image Sensor Fill Factor Using a Single Arbitrary Image
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.ORCID iD: 0000-0003-3887-5972
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.ORCID iD: 0000-0003-4327-117X
2017 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 17, no 3, 620- p.Article in journal (Refereed) Published
Abstract [en]

Achieving a high fill factor is a bottleneck problem for capturing high-quality images. There are hardware and software solutions to overcome this problem. In the solutions, the fill factor is known. However, this is an industrial secrecy by most image sensor manufacturers due to its direct effect on the assessment of the sensor quality. In this paper, we propose a method to estimate the fill factor of a camera sensor from an arbitrary single image. The virtual response function of the imaging process and sensor irradiance are estimated from the generation of virtual images. Then the global intensity values of the virtual images are obtained, which are the result of fusing the virtual images into a single, high dynamic range radiance map. A non-linear function is inferred from the original and global intensity values of the virtual images. The fill factor is estimated by the conditional minimum of the inferred function. The method is verified using images of two datasets. The results show that our method estimates the fill factor correctly with significant stability and accuracy from one single arbitrary image according to the low standard deviation of the estimated fill factors from each of images and for each camera.

Place, publisher, year, edition, pages
MDPI , 2017. Vol. 17, no 3, 620- p.
Keyword [en]
fill factor; virtual image; image sensor; pipeline; virtual response function; sensor irradiance
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:bth-14046DOI: 10.3390/s17030620ISI: 000398818700193OAI: oai:DiVA.org:bth-14046DiVA: diva2:1084300
Note

open access

Available from: 2017-03-24 Created: 2017-03-24 Last updated: 2017-04-28Bibliographically approved

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fulltext(4078 kB)109 downloads
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CiteExportLink to record
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Citation style
  • apa
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