A Parallel Method for Natural Texture Synthesis.

Abstract

This paper deals with an optimization technique applied to natural texture synthesis. It proposes a definition of a global criterion which is the mean square error between the statistical features of a natural original texture and those of an artificially generated one. A gradient algorithm is used to minimize this criterion. The statistical feature vector used was the autocorrelation function although this is by no means the only choice. The textures generated are very similar to the original ones. This method can be implemented in a highly parallel manner. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1983
Accession Number
ADA139889

Entities

People

  • A. Gagalowicz
  • Shuo Ma

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Automation
  • Classification
  • Computer Graphics
  • Computers
  • Data Science
  • Digital Image Processing
  • Digital Images
  • Image Processing
  • Image Reconstruction
  • Information Science
  • Order Statistics
  • Security
  • Statistics
  • Stochastic Processes
  • Universities
  • White Noise

Readers

  • Computer Vision.
  • Statistical inference.