Accession Number:

ADA621874

Title:

Insertion, Detection, and Extraction of Messages Hidden by Optimal Multi-Signature Spread Spectrum Means

Descriptive Note:

Final performance rept. 1 Apr 2012-31 Mar 2015

Corporate Author:

STATE UNIV OF NEW YORK AT BUFFALO RESEARCH FOUNDATION

Personal Author(s):

• Pados, Dimitris A.

Report Date:

2015-07-09

Pagination or Media Count:

54.0

Abstract:

We carry out optimized spread-spectrum data embedding in a given digital image or audio, or video sequence. First, the overall imagehost medium is pre-processed into transform-domain small blocks from which host vectors are obtained via zig-zag scanning vectorization. Multiuser data embedding is performed in the generated host vectors. Under this data embedding model, we calculate an orthogonal set of embedding spread-spectrum signatures that achieves maximum sum signal-to-interference-plus noise ratio sum-SINR at the output of the linear-filter receivers for any fixed embedding amplitude values. Then, for any given total embedding distortion constraint, we present the optimal multi-signature assignment and amplitude allocation that maximizes the sum capacity of the embedding procedure. The practical implication of the reported results is sum-SINR, sum-capacity optimal multiusermulti-signature spread-spectrum data embedding in the digital medium. Extensive experiments that we carried out demonstrate the effectiveness of the proposed methods. The problem of extracting blindly data embedded over a wide band in a spectrum transform domain of a digital medium is also considered.

Descriptors:

• *DATA TRANSMISSION SECURITY
• *DIGITAL IMAGES
• *EMBEDDED SYSTEMS
• *FEATURE EXTRACTION
• *MESSAGE PROCESSING
• *SPREAD SPECTRUM
• ALGORITHMS
• BROADBAND
• DISCRETE FOURIER TRANSFORMS
• DISTORTION
• ELECTROMAGNETIC INTERFERENCE
• LEAST SQUARES METHOD
• LINEARITY
• MANAGEMENT INFORMATION SYSTEMS
• MATHEMATICAL FILTERS
• OPTIMIZATION
• ORTHOGONALITY
• PROBABILITY
• SIGNAL TO NOISE RATIO
• STEGANOGRAPHY
• VECTOR ANALYSIS
• VIDEO SIGNALS

Subject Categories:

• Computer Systems Management and Standards
• Cybernetics
• Radio Countermeasures

Distribution Statement:

APPROVED FOR PUBLIC RELEASE