Comparison and Validation of Point Spread Models for Imaging in Natural Waters

Abstract

It is known that scattering by particulates within natural waters is the main cause of the blur in underwater images. Underwater images can be better restored or enhanced with knowledge of the point spread function (PSF) of the water. This will extend the performance range as well as the information retrieval from underwater electro-optical systems, which is critical in many civilian and military applications, including target and especially mine detection, search and rescue, and diver visibility. A better understanding of the physical process involved also helps to predict system performance and simulate it accurately on demand. The presented effort first reviews several PSF models, including the introduction of a semi%analytical PSF given optical properties of the medium, including scattering albedo, mean scattering angles and the optical range. The models under comparison include the empirical model of Duntley, a modified PSF model by Dolin et alas well as the numerical integration of analytical...

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Document Details

Document Type
Technical Report
Publication Date
Jun 20, 2008
Accession Number
ADA483848

Entities

People

  • Alan Dean Weidemann
  • Deric J Gray
  • Robert A. Arnone
  • Weilin W. Hou

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Coefficients
  • Digital Image Processing
  • Digital Images
  • Forward Scattering
  • Image Processing
  • Image Restoration
  • Military Applications
  • Military Research
  • Numerical Integration
  • Oceans
  • Optical Properties
  • Optics
  • Particle Size
  • Particles
  • Particulates
  • Scattering
  • Validation

Readers

  • Acoustics.
  • Computer Vision.
  • Marine Ecotoxicology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference