Image Processing for Human Understanding in Low-visibility

Abstract

Low-visibility conditions for navigation of vehicles are a frequent occurrence. Driving at night, in blizzards, in sand storms, or in fog form an obvious set of challenging conditions. Remote operation of unmanned vehicles through a camera image provides a similar difficulty. Gathering intelligence from satellite imagery can similarly benefit from improved visibility. Advanced image processing techniques (e.g., contrast enhancement or tone mapping) purport to improve the perceptual quality of images that lack the contrast or color depth perceived by the human visual system (HVS). Applying such an algorithm intelligently to these low-visibility conditions gives us the ability to provide a perceptually usable assisted-vision system.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2011
Accession Number
ADA609988

Entities

People

  • Caelan Reed Garrett
  • Mark A. Livingston
  • Zhuming Ai

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Augmented Reality
  • Computational Science
  • Computer Graphics
  • Computers
  • Digital Images
  • Equations
  • Human Systems Integration
  • Image Processing
  • Information Processing
  • Information Systems
  • Optical Properties
  • Remote Sensing
  • Satellite Imaging
  • Situational Awareness
  • Unmanned Vehicles
  • Virtual Reality

Readers

  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Space