Feature-Oriented Signal Processing Under Nonlinear Partial Differential Equations

Abstract

A successful nonlinear partial differential equation based approach to restoration was carried out, ENO least squares, shock filters, feature detectors and total variation based deconvolution techniques were combined. Also rigorous morphological methods and wavelet analysis were developed and used to restore noisy, blurry images.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA259951

Entities

People

  • Leonid Rudin
  • Stanley Osher

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Algorithms
  • Boundaries
  • Change Detection
  • Convolution
  • Detection
  • Detectors
  • Differential Equations
  • Diffraction
  • Equations
  • Image Processing
  • Inequalities
  • Mathematical Analysis
  • Partial Differential Equations
  • Theorems
  • Two Dimensional
  • White Noise

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Image Processing and Computer Vision.