Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Is image steganography natural?

Alvaro Martín1, Guillermo Sapiro, Gadiel Seroussi

  • 1Instituto de Computación, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguary. almartin@fing.edu.uy

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 24, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Efficient lossless compression of nanopore sequencing signals.

Bioinformatics advances·2026
Same author

An Evidence-Grounded Research Assistant for Functional Genomics and Drug Target Assessment.

bioRxiv : the preprint server for biology·2026
Same author

Ten years of data on small mammal species in Doñana (SW Spain): 2011-2021.

Biodiversity data journal·2025
Same author

A wearable-based aging clock associates with disease and behavior.

Nature communications·2025
Same author

Exploring a gene co-expression network throughout the trypanosoma cruzi life cycle.

BMC genomics·2025
Same author

Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli.

Scientific reports·2025
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

This study reveals that embedding secret messages in images (stego-images) alters their natural statistical properties. While changes are often subtle, they can be detected with knowledge of the steganography method used.

Area of Science:

  • Computer Science
  • Information Security
  • Digital Image Processing

Background:

  • Steganography conceals information within cover media, like images.
  • Assessing the statistical
  • naturalness
  • of stego-images is crucial for detection.
  • Recent advancements in natural image statistics provide new analytical tools.

Purpose of the Study:

  • To experimentally determine if stego-images exhibit statistical properties consistent with natural images.
  • To investigate the impact of common steganography techniques on image statistics.
  • To evaluate the detectability of hidden information in images.

Main Methods:

  • Utilized recent findings on the statistical properties of natural images.

Related Experiment Videos

  • Applied popular steganography techniques to create stego-images.
  • Analyzed the statistical alterations introduced by the data-hiding process.

    • Main Results:

    • Steganography techniques generally alter the fundamental statistics of natural images.
    • Alterations are often biased in a consistent direction.
    • Detected changes typically fall within the natural variability of image statistics, hindering detection without prior knowledge.

    Conclusions:

    • Hidden information in images can subtly change their statistical characteristics.
    • Reliable detection of steganography is challenging without knowledge of the specific embedding method.
    • Knowledge of the data hiding process significantly enhances detection capabilities.