Adaptive window thresholding for noise-robust photo detection in OCC

Joon Woo Lee, Sung Jin Kim, Sang Kook Han

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In an image sensor-based visible-light communication, noise reduction is essential for improving the transmission performance because each frame contains received data with various types of noises. In this study, we demonstrate the structures of receive (Rx) and transmit (Tx) frames for optical camera communication (OCC) by using the rolling shutter effect of a complementary metal-oxide semiconductor (CMOS) image sensor. We propose and demonstrate a three-step noise-reduction process for each frame. The additive white Gaussian noise is reduced by using “signal averaging,” and the background noise is reduced via “adaptive window thresholding” with “normalization.” By using the proposed method, this system shows noise tolerance. We experimentally demonstrate an 8.55-kBd error-free optical camera transmission.

Original languageEnglish
Pages (from-to)623-628
Number of pages6
JournalOptics Communications
Volume426
DOIs
Publication statusPublished - 2018 Nov 1

Fingerprint

Noise abatement
Image sensors
Camera shutters
communication
Cameras
cameras
noise reduction
Communication
noise tolerance
Metals
shutters
sensors
background noise
random noise
optical communication
CMOS
Visible light communication
Oxide semiconductors

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Physical and Theoretical Chemistry
  • Electrical and Electronic Engineering

Cite this

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Adaptive window thresholding for noise-robust photo detection in OCC. / Lee, Joon Woo; Kim, Sung Jin; Han, Sang Kook.

In: Optics Communications, Vol. 426, 01.11.2018, p. 623-628.

Research output: Contribution to journalArticle

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