Next Article in Journal
Design and Validation of a Low-Cost Portable Device to Quantify Postural Stability
Previous Article in Journal
A Spatially Offset Raman Spectroscopy Method for Non-Destructive Detection of Gelatin-Encapsulated Powders
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(3), 620; doi:10.3390/s17030620

Estimation of Image Sensor Fill Factor Using a Single Arbitrary Image

Department of Technology and Aesthetics, Blekinge Tekniska Högskola, 371 79 Karlskrona, Sweden
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 29 January 2017 / Revised: 12 March 2017 / Accepted: 15 March 2017 / Published: 18 March 2017
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [4078 KB, uploaded 18 March 2017]   |  

Abstract

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. View Full-Text
Keywords: fill factor; virtual image; image sensor; pipeline; virtual response function; sensor irradiance fill factor; virtual image; image sensor; pipeline; virtual response function; sensor irradiance
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wen, W.; Khatibi, S. Estimation of Image Sensor Fill Factor Using a Single Arbitrary Image. Sensors 2017, 17, 620.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top