Automated Steganography

Abstract

We outline a novel framework for automating steganographic and watermarking processes. Then, using an implementation built on this framework, we demonstrate the effect of a particular steganographic algorithm on picture quality and show how the framework may be used to generate acceptable, robust steganographic images without human intervention. The final system can serve to objectively compare the performance of various steganographic techniques.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA397615

Entities

People

  • Geroge Hartwig
  • Lisa Marvel

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Channel Models
  • Contrast
  • Cryptography
  • Digital Image Processing
  • Digital Images
  • Distortion
  • Frequency
  • Gaussian Noise
  • Generators
  • Image Processing
  • Image Restoration
  • Information Science
  • Military Research
  • Modulation
  • Noise Generators
  • Steganography

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design