Optical Contrast Amplification for Enhancing Event-Based Vision

Sebastian Valencia, Joseph Cox, Amit Ashok, Nicholas Morley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work employs optical spatial filtering in transmission to increase the contrast of objects imaged with the Event-Based Sensor (EBS), improving object detectability. EBS are asynchronous imaging sensors with integrated change detection capabilities, able to detect spatio-temporal changes in scene brightness as they occur. This change detection capability is implemented in electronics, which while providing advantages such as low power and low latency, limits its ability to detect low-contrast objects. To address this shortcoming, the EBS may be augmented with improvements to its low-contrast sensitivity, using optical, coherent high-spatial frequency filtering (HPF). In this work, we present optical HPF to improve detection performance in EBS imaging systems. Experimental measurements demonstrate that objects containing features with contrasts as low as 3.53% are discernable, which enables object detection with triple the sensitivity of the standalone EBS.

Original languageEnglish (US)
Title of host publicationUnconventional Imaging, Sensing, and Adaptive Optics 2023
EditorsJean J. Dolne, Mark F. Spencer, Santasri R. Bose-Pillai
PublisherSPIE
ISBN (Electronic)9781510666009
DOIs
StatePublished - 2023
EventUnconventional Imaging, Sensing, and Adaptive Optics 2023 - San Diego, United States
Duration: Aug 21 2023Aug 24 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12693

Conference

ConferenceUnconventional Imaging, Sensing, and Adaptive Optics 2023
Country/TerritoryUnited States
CitySan Diego
Period8/21/238/24/23

Keywords

  • Contrast Sensitivity
  • Event-Based Sensors
  • Fourier Optics
  • High-Pass Spatial Filtering
  • Low Contrast

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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