Super-Resolution Image Reconstruction From Aliased FLIR Imagery

Abstract

This paper presents a super-resolution image reconstruction from a sequence of aliased imagery. The sub-pixel shifts (displacement) among the images are unknown due to uncontrolled natural jitter of the imager. A correlation method is utilized to estimate sub-pixel shifts between each low resolution aliased image with respect to a reference image. An error-energy reduction algorithm is derived to reconstruct the high-resolution alias-free output image by imposing the spatial domain constraint and the spatial frequency domain constraint in an iterative fashion to form the desired alias-free (super-resolved) image. The results of testing the proposed algorithm on the simulated low resolution FLIR (Forward-Looking Infrared) images and real world FLIR images are provided.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA431606

Entities

People

  • Ronald G. Driggers
  • S. S. Young

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Detection
  • Detectors
  • Displacement
  • Frequency
  • Frequency Domain
  • High Resolution
  • Image Processing
  • Image Reconstruction
  • Low Resolution
  • Pattern Recognition
  • Sequences
  • Signal Processing
  • Target Signatures
  • Two Dimensional
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.