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Estimation of Image Sensor Fill Factor Using a Single Arbitrary Image.

Wei Wen1, Siamak Khatibi2

  • 1Department of Technology and Aesthetics, Blekinge Tekniska Högskola, 371 79 Karlskrona, Sweden. wei.wen@bth.se.

Sensors (Basel, Switzerland)
|March 25, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to estimate camera sensor fill factors from single images. This technique overcomes industrial secrecy, enabling accurate sensor quality assessment without prior knowledge.

Keywords:
fill factorimage sensorpipelinesensor irradiancevirtual imagevirtual response function

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Area of Science:

  • Image sensor technology
  • Computational imaging

Background:

  • High fill factor is crucial for image quality but often proprietary.
  • Existing solutions require known fill factor values.

Purpose of the Study:

  • To develop a method for estimating camera sensor fill factor from a single arbitrary image.
  • To enable sensor quality assessment without manufacturer-provided data.

Main Methods:

  • Estimating virtual response function and sensor irradiance.
  • Generating virtual images and fusing them into a high dynamic range radiance map.
  • Inferring a non-linear function and estimating fill factor via conditional minimum.

Main Results:

  • The proposed method accurately estimates fill factor from single images.
  • High stability and accuracy demonstrated across two datasets.
  • Low standard deviation in estimated fill factors indicates reliability.

Conclusions:

  • The method provides a reliable way to determine camera sensor fill factor.
  • Enables independent sensor quality evaluation.
  • Significant advancement for image quality research and development.