Applications of the Phi-Transform

Abstract

Research on this project has centered on the Phi-transform and wavelets and their application to various problems in image/signal processing, differential equations, and computer aided design. Construction of Wavelets - While the Phi-transform and wavelets have been developed in a quite general setting, several applications, most notably in image processing and numerical methods for differential equations, have pointed to several deficiencies in the traditional wavelet constructions. *This has led the researchers to consider alternate constructions of wavelets and related questions. Partial Differential Equations Concentration has been on two of the most prominent problems in partial differential equations: nonlinear equations such as conservation laws which arise in the study of wave propagation and elliptic problems on nonsmooth domains which arise in scattering theory and many aspects of computer aided design. Image Processing - The researchers have investigated algorithms for image and surface compression based on wavelet decompositions. The algorithms developed have been shown by the researchers to be optimal methods for compression in the sense of width or optimal recovery. Computer Aided Design - They have continued their development of the second generation of the CAD system SLIP. They now have a prototype running which allows them to reconstruct a 3D CAD description from photographic images of a manufactured part. Collaboration With Industry - They continue their collaboration with various industries, government laboratories, and university centers.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1993
Accession Number
ADA266247

Entities

People

  • B. Jawerth
  • Ronald DeVore

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Computer Science
  • Computer-Aided Design
  • Computers
  • Data Compression
  • Detection
  • Differential Equations
  • Equations
  • Image Processing
  • Information Theory
  • Integral Equations
  • Integrals
  • Mathematics
  • Numerical Analysis
  • Parallel Computing
  • Parallel Processing
  • Partial Differential Equations
  • Signal Processing

Readers

  • Computer Vision.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Software Engineering