Restoration algorithms for imaging through atmospheric turbulence

Abstract

This research project had focused on algorithms for imaging through atmospheric turbulence. An open dataset, called OTIS (Open Turbulent Image Set), was created for the community for algorithms assessment. A new wavelet burst accumulation method was proposed to reconstruct a restored image from a sequence of frames. We proposed a new spatio-temporal point of view for the moving object detection problem and we designed a vector field decomposition algorithm to numerically solved this problem. Finally, we mention some work currently in progress about a lucky imaging based super-resolution algorithm, as well as our current work on the simplification of the Fried kernel for deconvolution purposes.

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Document Details

Document Type
Technical Report
Publication Date
Feb 18, 2017
Accession Number
AD1030299

Entities

People

  • Jérôme Gilles

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Atmospheric Motion
  • Contracts
  • Data Sets
  • Detection
  • Distortion
  • Electronic Mail
  • Image Processing
  • Intellectual Property
  • Moving Targets
  • Pattern Recognition
  • Turbulence
  • Wavelet Transforms

Readers

  • Image Processing and Computer Vision.
  • Technical Research and Report Writing.