Adaptive exposure-time control based on image entropy for multiple-exposure-time image sensor

Kurumi Kataoka, Yusuke Kameda, Takayuki Hamamoto

Research output: Contribution to journalArticlepeer-review

Abstract

We propose an adaptive exposure-time-control method for image sensors, which can control the exposure time for each pixel to reconstruct a high-dynamic-range image, while suppressing blown-out highlights and blocked-up shadows, according to the luminance and contrast of the scene. First, the proposed method determines the exposure time that maximizes the entropy of the entire image, as an image with high entropy contains more object details. In order to estimate the exposure time appropriate for the light and dark areas in the scene, the proposed method divides the image into blocks and estimates the exposure time that maximizes the entropy for each block. Because the proposed method captures and estimates several exposure times simultaneously, the time required for adjusting the exposure time is reduced. Simulation experiments show the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)128-135
Number of pages8
JournalITE Transactions on Media Technology and Applications
Volume9
Issue number2
DOIs
Publication statusPublished - 2021

Keywords

  • Exposure time control
  • HDR reconstruction
  • Image entropy
  • Multiple exposure time imaging

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