Image Restoration by Spline Functions

Abstract

Spline functions, because of their highly desirable interpolating and approximating characteristics, are used as a potential alternative to the conventional pulse approximation method in digital image processing. For uniformly spaced knots, a class of spline functions called B-splines has the useful properties of shift invariance, positiveness, and convolutional and local basis properties. These properties are exploited in image processing for linear incoherent imaging systems.

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Document Details

Document Type
Technical Report
Publication Date
Aug 31, 1976
Accession Number
ADA122471

Entities

People

  • Mohammad Javad Peyrovian

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computer Science
  • Convolution Integrals
  • Department Of Defense
  • Digital Computers
  • Digital Image Processing
  • Digital Images
  • Electrical Engineering
  • Image Processing
  • Image Restoration
  • New York
  • Numerical Analysis
  • Optics
  • Photographic Film
  • Signal Processing
  • Theses

Readers

  • Approximation Theory.
  • Computer Vision.
  • Optical Physics and Photonics.

Technology Areas

  • Space