Highly Nonlinear Algorithms for Wavelet Based Image Processing With Military Applications

Abstract

Research on this contract was directed towards areas of mathematics and numerical computation which have applications to image/signal processing. The research can be broadly classified into the following areas: (i) image processing, (ii) processing digital terrain data, (iii) wavelets and multi resolution, (iv) information theory, (v) analogue to digital signal conversion, and (vi) approximation. The highlights of the scientific accomplishments include: development of compression methods for Digital Terrain Elevation Data, solution of external problems for image denoising using wavelets, construction of new wavelet bases, development of high order methods for conversion between analogue and digital signals.

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Document Details

Document Type
Technical Report
Publication Date
Feb 12, 2001
Accession Number
ADA386789

Entities

People

  • Pencho Petrushev
  • Ronald A. Devore

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Analogs
  • Applied Mathematics
  • Compression
  • Computations
  • Construction
  • Conversion
  • Data Compression
  • Functional Analysis
  • Harmonic Analysis
  • Image Processing
  • Information Processing
  • Information Theory
  • Mathematics
  • Military Applications
  • Neural Networks
  • Signal Processing

Readers

  • Computer Vision.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Technical Research and Report Writing.