Wavelet Domain Image Restoration and Super-Resolution

Abstract

Multi-resolution techniques, and especially the wavelet transform provide unique benefits in image representation and processing not otherwise possible. While wavelet applications in image compression and denoising have become extremely prevalent, their use in image restoration and super-resolution has not been exploited to the same degree. One issue is the extension 1-D wavelet transforms into 2-D via separable transforms versus the non-separability of typical circular aperture imaging systems. This mismatch leads to performance degradations.

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Document Details

Document Type
Technical Report
Publication Date
Aug 14, 2002
Accession Number
ADA405111

Entities

People

  • Matthew E. Goda

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computational Science
  • Data Compression
  • Frequency Bands
  • Frequency Domain
  • Frequency Response
  • Hidden Markov Models
  • High Resolution
  • Image Compression
  • Image Processing
  • Image Restoration
  • Inverse Problems
  • Low Resolution
  • Probability
  • Probability Distributions
  • Signal Processing

Readers

  • Image Processing and Computer Vision.
  • Systems Analysis and Design