A Technique for Image Magnification Using Partitioned Iterative Function System

Abstract

A new technique for image magnification using the theory of fractals is proposed. The technique is designed assuming self transformability property of images. In particular, the magnification task is performed using the fractal code of the image instead of the original one resulting in a reduction in memory requirement. To generate the fractal codes, Genetic Algorithm with elitist model is used which greatly decreases the search for finding self similarities in the given image. The article presents both theory and implementation of the proposed method. A simple distortion measure scheme and a similarity criterion based on just noticeable difference have also been proposed to judge the image quality of the magnified image. Comparison with one of the most popular magnification techniques, the nearest neighbor technique, is made.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1999
Accession Number
ADA370871

Entities

People

  • C. A. Murthy
  • Malay K. Kundu
  • Suman K. Mitra

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Classification
  • Coding
  • Compression Ratio
  • Computations
  • Computer Programming
  • Decoding
  • Digital Images
  • Distortion
  • Genetic Algorithms
  • Image Compression
  • Image Processing
  • Magnification
  • Multivariate Analysis
  • Probability
  • United States Government

Fields of Study

  • Computer science
  • Physics

Readers

  • Artificial Intelligence
  • Image Processing and Computer Vision.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Learning Algorithms
  • Biotechnology