Imagery-Derived Modulation Transfer Function and its Applications for Underwater Imaging

Abstract

The main challenge working with underwater imagery results from both rapid decay of signals due to absorption, which leads to poor signal to noise returns, and the blurring caused by strong scattering by the water itself and constituents within, especially particulates. The modulation transfer function (MTF) of an optical system gives the detailed and precise information regarding the system behavior. Underwater imageries can be better restored with the knowledge of the system MTF or the point spread function (PSF), the Fourier transformed equivalent, extending the performance range as well as the information retrieval from underwater electro-optical system. This is critical in many civilian and military applications, including target and especially mine detection, search and rescue, and diver visibility. This effort utilizes test imageries obtained by the Laser Underwater Camera Imaging Enhancer (LUCIE) from Defense Research and Development Canada (DRDC), during an April-May 2006 trial experiment in Panama City, Florida. Imaging of a standard resolution chart with various spatial frequencies were taken underwater in a controlled optical environment, at varying distances. In-water optical properties during the experiment were measured, which included the absorption and attenuation coefficients, particle size distribution, and volume scattering function.

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Document Details

Document Type
Technical Report
Publication Date
Jan 30, 2008
Accession Number
ADA476561

Entities

People

  • Alan Dean Weidemann
  • Deric J Gray
  • Georges R. Fournier
  • Weilin W. Hou

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Sensors

DTIC Thesaurus Topics

  • Absorption
  • Abstracts
  • Attenuation
  • Cameras
  • Coefficients
  • Detectors
  • Frequency
  • Frequency Domain
  • Illumination
  • Measurement
  • Military Research
  • Modulation
  • Optical Properties
  • Polarization
  • Scattering
  • Transfer Functions
  • Two Dimensional

Readers

  • Image Processing and Computer Vision.
  • Materials Science

Technology Areas

  • AI & ML
  • Directed Energy