A Comparative Study of Digital Interpolation Techniques.

Abstract

Interpolation has come into use in digital picture processing for many reasons. This paper is a report on the implementation and evaluation of four methods - replication, linear, cubic spline and sinc function. The evaluation is based on mean square error calculations, visual rating and computer usage costs. The results are limited but show that the best method depends upon the application for which it is used. Two side investigations were also conducted. The mean square error of an interpolated picture can be reduced if the picture is optimally sampled before interpolation. The results of an experiment bear this out. An interpolation method was extended to color pictures. The method proved feasible. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1977
Accession Number
ADA050321

Entities

People

  • Edward A. Haser

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Computer Graphics
  • Computer Programs
  • Computer Science
  • Computers
  • Data Sets
  • Databases
  • Equations
  • Frequency Domain
  • Interpolation
  • Maryland
  • Operating Systems
  • Space Flight
  • Test And Evaluation
  • Two Dimensional
  • Universities
  • Weighting Functions

Readers

  • Approximation Theory.
  • Instructional Design and Training Evaluation.